<div>The YouVersion Staff Data Engineer will lead the development of scalable data infrastructure and processes to support the Bible App’s global growth. This role focuses on defining best practices, setting technical standards, delivering excellent solutions and mentoring engineers to foster a culture of excellence. Collaborating with cross-functional teams, the Staff Data Engineer will design innovative solutions that align with the organization’s mission while driving strategic technical and architectural decisions. The Staff Data Engineer utilizes their skills to deliver technical outcomes that align with the direction of their team to further Life.Church’s mission and to reach people for Christ.</div><div><br></div><div>YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.&nbsp;</div><div><br></div><div>We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That’s why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day.&nbsp;</div><div><br><strong>What You'll Do</strong></div><ul><li>Drive data awareness by delivering accurate, actionable insights to support analytics and decision-making.</li><li>Design and implement complex, reliable, and scalable data pipelines.</li><li>Support, maintain, and optimize existing ETL processes and data interfaces.</li><li>Collaborate with data and product teams to prioritize and deliver impactful data solutions.</li><li>Create clear documentation and diagrams to enhance understanding across teams and leadership.</li><li>Provide expert-level guidance on data modeling and warehouse design.</li><li>Partner with internal teams to establish and maintain excellence in data governance, privacy, and security.</li><li>Promote continuous learning, adoption of new technologies, and best practices in data engineering.</li><li>Advocate for rigorous testing and monitoring to ensure the delivery of trusted, high-quality data.</li><li>Champion data quality initiatives within the data team and across the organization.</li><li>Collaborate closely with the Data Architect to uphold organizational standards andmaintain best practices.</li><li>Enhance data knowledge by supporting and improving user event processing.</li><li>Mentor and develop junior and mid-level data engineers and contracting partners.</li><li>Actively lead within the agile/scrum development process.</li><li>Independently manage high-priority work while aligning with team goals.</li></ul><div><br><strong>Skills Needed to Succeed</strong></div><ul><li>Ability to self-motivate, make independent decisions, and solve problems with innovation.</li><li>Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change.</li><li>Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.</li><li>Effective at process and organizational management to coordinate, structure, and provide vision to projects.</li><li>Strong leadership skills and understanding of developing and guiding others.</li><li>Expert-level SQL knowledge, capable of writing complex queries and performance tuning.</li><li>Deep knowledge in Database Management Systems, including Postgres, BigQuery, or MySQL.</li><li>Proficient in API and streaming data integration.</li><li>Deep knowledge of data warehousing models and design principles.</li><li>Familiar with user event data collection tools like Firebase, GA4, or similar platforms.</li><li>Bachelor's Degree in Computer Science or Data preferred.</li><li>7+ years of related work experience.</li><li>Highly proficient in programming languages such as Python, Go, Java, or other general-purpose scripting languages.</li><li>Experienced with data orchestration tools like Airflow, FiveTran, DBT, Pub/Sub, or similar streaming technologies.</li><li>Experienced with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.</li></ul>

Staff Data Engineer

<div>The Senior Data Scientist is responsible for developing advanced analytical and machine-learning solutions to optimize user engagement and retention in our mobile applications. The Senior Data Scientist will work closely with product managers, engineers, and other stakeholders to drive data-driven decision-making and deliver insights that enhance the user experience. The Senior Data Scientists provides data solutions that equip teams and ministries to further Life.Church’s mission and to reach people for Christ.&nbsp;</div><div><br></div><div>YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.&nbsp;</div><div><br></div><div>We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That’s why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day.&nbsp;</div><div><br><strong>What You’ll Do</strong></div><ul><li>Analyze large-scale datasets in BigQuery to extract actionable insights on user behavior, engagement, and app performance.</li><li>Develop metrics and KPIs to track user acquisition, retention, and in-app behaviors across multiple apps.</li><li>Conduct funnel analysis, cohort analysis, and segmentation studies to understand user journeys and identify growth opportunities.</li><li>Design, build, and deploy predictive models to enhance app personalization, recommend content, and improve ad targeting.</li><li>Develop models for churn prediction, lifetime value estimation, and user segmentation to inform product and marketing strategies.</li><li>Leverage BigQuery ML and other cloud-based machine learning tools to streamline the modeling process within the Google ecosystem.</li><li>Design and analyze A/B tests to evaluate the impact of new features, UX changes, and marketing strategies on user engagement and retention.</li><li>Implement statistical methods to assess test results, including sample size calculation, significance testing, and post-test analysis.</li><li>Document and share best practices for experimentation with cross-functional teams.</li><li>Work closely with data engineers to build, optimize, and maintain ETL pipelines in BigQuery, ensuring data availability and accuracy.</li><li>Define and implement data quality checks and standardization procedures for mobile app data.</li><li>Advocate for data infrastructure improvements and guide the design of efficient data pipelines.</li><li>Develop interactive dashboards and visualizations in tools such as Tableau, or Looker to present insights to product, marketing, and engineering teams.</li><li>Translate complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders.</li><li>Present findings regularly to senior leadership, providing strategic guidance based on data-driven insights.</li><li>Mentor junior data scientists and analysts, providing guidance on best practices in data science, mobile app analytics, and BigQuery usage.</li><li>Lead cross-functional data projects, ensuring alignment on goals, methodology, and timelines.</li><li>Stay updated with industry trends and new technologies, sharing relevant knowledge with the team and encouraging innovation.</li></ul><div><br><strong>Skills Needed to Succeed</strong></div><ul><li>Ability to self-motivate, make independent decisions, and solve problems with innovation.</li><li>Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change.</li><li>Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.</li><li>Effective at process and organizational management to coordinate, structure, and provide vision to projects.</li><li>Strong leadership skills and understanding of developing and guiding others.</li><li>A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis.</li><li>Proficiency in Python or R for data analysis, modeling, and machine learning.</li><li>Familiarity with data visualization tools like Google Data Studio, Tableau, or Looker to create dashboards and reports.</li><li>Strong understanding of mobile app analytics, including metrics for user engagement, retention, and funnel analysis preferred.</li><li>Experience with app tracking frameworks and attribution tools(e.g., Firebase, Adjust, AppsFlyer) preferred.</li><li>Knowledge of statistical techniques for experiment design and analysis preferred(e.g., causal inference, propensity score matching).</li><li>Familiarity with app store optimization(ASO) and mobile marketing analytics preferred.</li><li>Master’s degree or Ph. D. in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.</li><li>5+ years of experience in data science or analytics, with at least 2 years in the mobile app industry.</li><li>Advanced proficiency in Google BigQuery, including SQL query optimization, data processing, and BigQuery ML for machine learning.</li><li>Experience with machine learning algorithms for classification, regression, clustering, and time series analysis.</li></ul>

Senior Data Scientist

<div>At Habitat, we believe data drives everything we do – from fundraising, event planning, solicitation of volunteers, advocacy for safe and affordable housing, partnerships, and government/grant programs to engage, serve, and support our constituents. As such, we are seeking a Senior Data Engineer to join our Data Management Team. The primary responsibility in this role includes managing and optimizing Habitat’s enterprise data systems. This role is ideal for someone with extensive experience in data management, a strong background in computer science, and excellent communication skills.<br><br><strong>Essential Duties and Responsibilities:</strong><br>• Troubleshooting and Optimization: Troubleshoot data-related issues and continuously optimize data systems for better performance. (25%)<br>• Data Pipeline Management: Develop and oversee data pipelines that ensure smooth data flow from various sources to storage and processing systems (20%)<br>• Design and Build Data Systems: Create and maintain Habitat’s data systems, databases, and data warehouses to store and manage large volumes of data (20%)<br>• Collaboration: Work closely with Director of Data Management, data architects, data analysts, and other stakeholders to understand data needs and implement approved data solutions (20%)<br>• Data Compliance and Security: Ensure that data systems comply with security standards and regulations, protecting sensitive information. (10%)<br>• Team Guidance: Provide technical guidance in best practices and project execution. (5%)<br><br>Note: % of time commitment will fluctuate based on product need.<br><br><strong>Minimum Qualifications:</strong><br>• Education: Bachelor’s Degree (Related Technical Discipline)<br>• 6+ years hands on experience in data engineering, data system development, or related roles<br><br><strong>Requirements:</strong><br>• Familiarity with multiple data architecture design patterns<br>• Ability to build, maintain and improve data architecture, data collection and data storage systems<br>• Ability to write and interpret code/support the Agile teams as needed<br>• Proficiency in ETL/ELT technologies with focus in Microsoft technology stack<br>• Extensive programming experience of data processing languages (SQL/T-SQL, Python, Java, JavaScript)<br>• Strong computer science background and knowledge of software development methodologies<br>• Proficiency in cloud delivery models, cloud platforms, cloud storage, data streaming, and data frameworks (SaaS/DaaS/PaaS/IaaS, Azure, microservices, Dmbok2, TOGAF)<br>• Strong skills in relational databases and data warehousing<br>• Familiarity with big data tools such as Kafka, Spark, Hadoop<br>• Expertise in code management utilizing GitHub/Visual Studio<br>• Experience utilizing productivity tools with specialty utilizing Jira<br>• Experience with DevOps practices, configuration frameworks and CI/CD automation tooling<br><br><strong>Soft Skills:<br></strong>• Ability to communicate complex technical concepts to non-technical stakeholders<br>• Effective in working both independently and within a team<br>• Diligent, rigorous, and collaborative<br>• Strong problem-solving and analytical abilities<br>• Ability to work collaboratively in a fast-paced environment<br><br><strong>Preferred – in addition to minimum:</strong><br>• Certification in Data Engineering preferred<br>• Certified SAFe 6 Practitioner<br>• Experience with large-scale enterprise transformations<br>• Proficiency in data visualization (Power BI, Tableau, MS Excel)<br>• Experience working with Kubernetes<br>• Experience working in a matrixed organization<br>• Active support of HFHI Values:<br>o <strong>Humility</strong> – We are part of something bigger than ourselves<br>o <strong>Courage</strong> – We do what’s right, even when it is difficult or unpopular<br>o <strong>Accountability</strong> – We take personal responsibility for Habitat’s mission<br>• <strong>Safeguarding:</strong> HFHI requires that all employees take seriously their ethical responsibilities to safeguarding our intended beneficiaries, their communities, and all those with whom we work. Managers at all levels have responsibilities to support and develop systems that create and maintain an environment that prevents harassment, sexual exploitation, and abuse, safeguards the rights of beneficiaries and community members (especially children), and promotes the implementation of Habitat for Humanity’s code of conduct.<br><br><strong>The actual salary offered for this role will be based on a variety of factors, including location, internal equity and the candidate’s qualifications and professional experience. HFHI offers a competitive, comprehensive benefits package that varies by country and typically includes vacation leave, sick leave, personal days, health insurance options, retirement plan contributions and life insurance. For work locations in the US, the hiring range for this position is $86,700 to $102,000.</strong></div>

Senior Data Engineer

<div><strong>Join Tithe.ly, </strong><strong><em>We’re on a Mission</em></strong></div><div>We’re a fully remote tech company that puts the Church first, serving over 37,000 churches around the world. We’re on a mission to see the local Church have the financial stability and resources needed to build the Kingdom of God. We work every day to deliver world-class, cost-effective technology tools to make the church's business just a bit easier.</div><div><br></div><div><strong>Sr. Data Engineer</strong></div><div>The Senior Data Engineer will play a critical role in designing, building, and maintaining high-performance data pipelines and infrastructure to support scalable analytics and data science initiatives. This role is responsible for optimizing our data architecture, enabling efficient data collection, storage, and processing, and ensuring data quality across a variety of sources. The ideal candidate will have extensive experience in data engineering, be skilled in cloud technologies, and be passionate about delivering data solutions that drive business impact.</div><div><br></div><div><strong>Primary Responsibilities of the Role</strong></div><ul><li>Data Pipeline Development: Design, build, and maintain reliable, scalable ETL (Extract, Transform, Load) processes and data pipelines to collect, clean, and process large datasets into our data warehouse.</li><li>Data Infrastructure and Architecture: Architect and manage data warehousing and data lake solutions in cloud environments to support business analytics.</li><li>Data Quality and Governance: Implement best practices for data quality, validation, monitoring, and governance to ensure high data integrity and compliance with relevant standards.</li><li>Cross-Functional Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and optimize infrastructure to support business goals.</li><li>Optimization and Performance Tuning: Monitor and enhance database performance, tuning SQL queries, and optimizing storage and access patterns for fast, reliable data access.</li><li>Cross-Functional Tool Integration: Lead the integration of various cross-functional tools (e.g., HS, Zendesk, analytics platforms) into a central data lake to create a unified, accessible data source for all departments. This includes designing standardized ingestion processes, ensuring data consistency, and establishing efficient data flows across systems to facilitate seamless access and analytics across the organization.</li></ul><div><br></div><div><strong>A Successful Candidate Will:</strong></div><ul><li>Ensure Accountability: Holds self and others accountable for meeting data quality and delivery commitments. Sets clear responsibilities, establishes effective monitoring processes, and takes ownership of ensuring reliable data solutions. Designs feedback loops to consistently improve work quality and results.</li><li>Manage Complexity: Demonstrates skill in navigating complex data structures and multi-source integrations, applying critical thinking to solve intricate data challenges. Asks insightful questions and applies a structured approach to analyze, troubleshoot, and optimize data solutions effectively.</li><li>Be Action-Oriented: Urgently and energetically takes initiative on technical challenges. Seizes new opportunities to improve data systems, displaying a proactive, “can-do” attitude when tackling issues and advancing projects on schedule.</li><li>Collaborate Effectively: Builds strong cross-functional partnerships, working closely with product, analytics, and data science teams to understand their needs and ensure data infrastructure supports their goals. Establishes trust, communicates clearly, and works towards shared objectives.</li><li>Communicate Effectively: Delivers clear, timely information across teams, tailoring communication for diverse audiences. Effectively explains complex data processes and technical decisions to non-technical stakeholders, ensuring alignment on data infrastructure initiatives.</li></ul><div><br></div><div><strong>Technical Qualifications</strong></div><ul><li>Experience: 5+ years in data engineering or a related field.</li><li>Technical Skills: Familiarity with Snowflake, RDBMS's, Git, Jira</li><li>Education: Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).</li></ul><div><br></div><div><strong>Office Requirements:</strong></div><ul><li>We are a fully distributed team (100% remote) with travel required 1-2 times per year.</li><li>A stable work environment with designated workspace and access to high-speed internet.</li><li>US-based and legally able to work full time in the US. Sponsorships are not available at this time.</li></ul><div><br></div><div><strong>Benefits</strong></div><div>We offer health insurance, dental, and vision coverage for you and your family, a 401 (k), paid time off, sick leave, parental leave, and more. We believe taking care of our team is important and want to be sure you have what you need.</div><div><br></div><div><em>Tithe.ly is an Equal Opportunity Employer Yourgiving, Inc. DBA Tithe.ly (herein, “the Company”) is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race (including hairstyles), color, alienage or national origin, ancestry, citizenship status, sex, gender, gender identity, pregnancy, childbirth or related medical condition, religious creed, physical disability or handicap, mental disability or handicap, age, medical condition (cancer), marital status, veteran status, sexual orientation, genetic information, arrest record, or any other characteristic protected by federal, state or local law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, and general treatment during employment.</em></div><div><br></div><div><strong>Annual Compensation: $125k - $150k</strong></div>

Sr. Data Engineer

<div>The YouVersion Senior Data Engineer role will be responsible for providing data engineering support and delivery across all product lanes. This position will require expertise in areas of data engineering, architecture, governance, quality, and testing.&nbsp; This individual will need to understand the big picture of all things YouVersion data, yet be able to design and deliver at the detailed technical level. &nbsp;</div><div><br></div><div>This role is critical in increasing engagement and growth through the Bible App globally. The Senior Data Engineer will work tightly with the Data Analytics team, Software Engineering team, and Product teams. This role is responsible for defining and delivering quality data that is used to know our users more closely so our team can fulfill the YouVersion mission,&nbsp; “to encourage and challenge people to seek intimacy with God daily”!</div><div><br></div><div>YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.</div><div><br></div><div>We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That’s why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day.</div><div><br><strong>What You'll Do</strong></div><ul><li>Drive data awareness and provide accurate and actionable data for analytics and decision-making.</li><li>Design and deliver complex data pipelines that are reliable and scalable.</li><li>Support, maintain, and refine existing ETL processes and data interfaces.&nbsp;</li><li>Collaborate with data and product teams to ensure data solutions are prioritized and shaped for delivery.&nbsp;</li><li>Provide documentation and diagramming for the understanding of other engineers and leaders.</li><li>Develop data catalogs and data definitions for clear usage and understanding.</li><li>Develop expert-level knowledge of the data infrastructure, tools, and processes.</li><li>Assist across internal teams to define excellence in data governance, privacy, and security.&nbsp;</li><li>Continuously learning tools, technologies, and best practices of data engineering.</li><li>Develop testing and monitoring across all levels of data to deliver trusted quality data results.</li><li>Lead, mentor, and develop other data engineers.&nbsp;</li><li>Understand and support user events processing to bring our data knowledge to the next level.</li><li>Engage as an active contributor within our agile development process.</li><li>Own projects and oversee them with minimal direction.</li><li>Manage schedules and duties to efficiently meet the needs of the organization in the pursuit of leading others to become fully devoted followers of Christ.</li></ul><div><br><strong>Skills Needed to Succeed</strong></div><ul><li>Strong knowledge of the Google Cloud Platform including BigQuery, Dataflow, DataStream, etc.&nbsp; or other similar cloud platforms.&nbsp;</li><li>Strong SQL knowledge, with the capability to write complex SQL and provide performance tuning.</li><li>Highly skilled in Python, Go, Java scripting, or other general-purpose programming languages.</li><li>Proficient with data orchestration/transformation tools such as Airflow, Pub/Sub, FiveTran, CDC, DBT, streaming, etc.</li><li>Proficient in Database Management Systems, such as Postgres, BigQuery, or SQL Server.</li><li>Understanding of user event data collection products such as Firebase, GA4, or similar.</li><li>Preferred experience with JIRA, Gitlab, Amplitude, Backstage, Notion, and LucidChart.</li><li>Experienced in data warehousing modeling and design fundamentals.</li><li>Exceptional in time management to meet strict deadlines while remaining flexible and open to change.</li><li>Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes.&nbsp;</li><li>Strong knowledge of analytics tools like Tableau or others is a bonus.&nbsp;</li><li>Bachelor's Degree and/or Advanced Certification.</li><li>5+ years of data and engineering related work experience.</li></ul>

<div>The YouVersion Data Warehouse Engineer role will be responsible for providing data engineering support and delivery across all product lanes. This position will require expertise in areas of data engineering, architecture, governance, quality, and testing.&nbsp; This individual will need to understand the big picture of all things YouVersion data, yet be able to design and deliver at the detailed technical level. &nbsp;</div><div><br></div><div>This role is critical in increasing engagement and growth through the Bible App globally. The Data Warehouse Engineer will work tightly with the Data Analytics team, Software Engineering team, and Product teams. This role is responsible for defining and delivering quality data that is used to know our users more closely so our team can fulfill the YouVersion mission,&nbsp; “to encourage and challenge people to seek intimacy with God daily”!</div><div><br></div><div>YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.</div><div><br></div><div>We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That’s why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day.</div><div><br></div><div><strong>What You'll Do</strong></div><ul><li>Drive data awareness and provide accurate and actionable data for analytics and decision-making.</li><li>Design and deliver complex data pipelines that are reliable and scalable.</li><li>Support, maintain, and refine existing ETL processes and data interfaces.&nbsp;</li><li>Collaborate with data and product teams to ensure data solutions are prioritized and shaped for delivery.&nbsp;</li><li>Provide documentation and diagramming for the understanding of other engineers and leaders.</li><li>Develop data catalogs and data definitions for clear usage and understanding.</li><li>Develop expert-level knowledge of the data infrastructure, tools, and processes.</li><li>Assist across internal teams to define excellence in data governance, privacy, and security.&nbsp;</li><li>Continuously learning tools, technologies, and best practices of data engineering.</li><li>Develop testing and monitoring across all levels of data to deliver trusted quality data results.</li><li>Lead, mentor, and develop other data engineers.&nbsp;</li><li>Understand and support user events processing to bring our data knowledge to the next level.</li><li>Engage as an active contributor within our agile development process.</li><li>Own projects and oversee them with minimal direction.</li><li>Manage schedules and duties to efficiently meet the needs of the organization in the pursuit of leading others to become fully devoted followers of Christ.</li></ul><div><br></div><div><strong>Skills Needed to Succeed</strong></div><ul><li>Strong knowledge of the Google Cloud Platform including BigQuery, Dataflow, DataStream, etc.&nbsp; or other similar cloud platforms.&nbsp;</li><li>Strong SQL knowledge, with the capability to write complex SQL and provide performance tuning.</li><li>Highly skilled in Python, Go, Java scripting, or other general-purpose programming languages.</li><li>Proficient with data orchestration/transformation tools such as Airflow, Pub/Sub, FiveTran, CDC, DBT, streaming, etc.</li><li>Proficient in Database Management Systems, such as Postgres, BigQuery, or SQL Server.</li><li>Understanding of user event data collection products such as Firebase, GA4, or similar.</li><li>Preferred experience with JIRA, Gitlab, Amplitude, Backstage, Notion, and LucidChart.</li><li>Experienced in data warehousing modeling and design fundamentals.</li><li>Exceptional in time management to meet strict deadlines while remaining flexible and open to change.</li><li>Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes.&nbsp;</li><li>Strong knowledge of analytics tools like Tableau or others is a bonus.&nbsp;</li><li>Bachelor's Degree and/or Advanced Certification.</li><li>5+ years of data and engineering related work experience.</li></ul>

Data Warehouse Engineer 

<div><strong>Position Summary:</strong></div><div>The Snowflake Data Engineer is responsible for managing and optimizing our Snowflake data warehouse environment to support our data-driven initiatives.&nbsp; This position will be responsible for overseeing the Snowflake data warehouse, ensuring its availability, performance, security, and scalability. The Snowflake Data Engineer works closely with the Business Intelligence team and cross-functional teams to enhance the ministry’s data services and data management.</div><div>&nbsp;</div><div><strong>Essential Functions:</strong></div><ol><li>Oversee the Snowflake data warehouse, ensuring its availability, performance, security, and scalability.</li><li>Manage Snowflake users, roles, and resource monitors, ensuring compliance with security and data governance policies.</li><li>Monitor and optimize Snowflake’s performance and cost, including query tuning and optimizing data storage.</li><li>Collaborate with BI and software teams to design and implement effective data models and ETL processes.</li><li>Focused on data engineering by building, maintaining, and optimizing Streams, Tasks, Stored Procedures, Functions, Views, Materialized Views, and Dynamic Tables.</li><li>Stay current with Snowflake features and updates, implementing best practices and upgrades.</li><li>Assist in data migration projects, ensuring smooth and efficient transfer to data to the Snowflake environment.</li><li>Provide technical support and training to team members on Snowflake usage and best practices.</li><li>Prepare and maintain detailed documentation regarding the Snowflake environment, including configuration, processes, and policies.</li><li>Work closely with Snowflake support to resolve any technical issues.</li></ol><div>&nbsp;</div><div><strong>Study or Knowledge or Experience:</strong></div><ul><li>Bachelor’s degree in information technology, or equivalent experience.&nbsp;</li><li>Proven experience (2+ years) in a Snowflake Administration role, participating in the design and implementation of complex data solutions in large-scale organizations.</li><li>Proficency in SQL and experience with ETL tools and processes.</li><li>Familiarity with data warehousing concepts, data modeling, and big data technologies.</li><li>Experience with Snowflake security management, data sharing and performance tuning.</li><li>SnowPro certifications a plus.</li><li>Understanding of external integrations such as Azure Blob Storage.</li><li>Understanding of Salesforce CRM and Marketing Cloud.</li><li>Understand of CCPA and GPDR.</li><li>Strong problem-solving skills, with the ability to analyze complex business processes and design scalable solutions.</li><li>Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders.</li><li>Knowledge of Agile methodologies and project management practices.&nbsp;</li><li>Strive to live a life consistent with biblical principles, engaged with the Bible on a consistent basis and demonstrate continued growth and spiritual development.&nbsp;</li></ul><div>&nbsp;</div><div><strong>Internal Work Environment:</strong></div><div>Develop, maintain, and improve communication channels among various teams and departments to ensure effective flow or information throughout the organization Facilitate cross-functional collaboration and teamwork. Handle sensitive situations or controversial issues with tact, discretion, and sensitivity. Exhibit excellent judgement regarding the appropriate content and timing of communications. Break down complex concepts into easily understandable formats for various audiences across the organization. Develop strategies to present and share complex information. Create and deliver software demonstrations for meetings and other high-level gatherings.</div><div>&nbsp;</div><div><strong>External Communication:</strong></div><div>Establish and maintain communication with vendors, partners, and other external stakeholders, understand their needs, expectations, and requirements to foster positive and productive relationships and model biblical principles.</div><div>&nbsp;</div><div><strong>Leadership Responsibility:</strong></div><div>Provide technical guidance on Snowflake to solve complex business problems.</div><div><strong>&nbsp;</strong></div><div><strong>Stewardship of Resources:</strong></div><div>Contribute to the budget planning process for data initiatives, providing expert input on anticipated resources required for data, storage, as well as necessary tools and technologies.&nbsp; Offer insightful feedback to ensure cost-effectiveness and alignment with project goals.</div><div>&nbsp;</div><div><strong>Miscellaneous:</strong></div><div>Our Daily Bread Ministries is a nondenominational nonprofit with staff and volunteers across the globe and resources distributed in 150 countries and in more than 50 languages. As a global ministry faithful to biblical principles, our commitment to diversity is reflected in our ministry's mission, vision, values, and ethos.</div>

Snowflake Data Engineer

<div><strong>Reports to Senior Director of Technology &amp; Information</strong></div><div><br>The Data Engineer III or IV at Word on Fire is pivotal in designing, constructing, installing, testing, and maintaining highly scalable data management systems. This role ensures that all data pipelines are scalable, repeatable, and secure, and can serve multiple users within the organization. The Data Engineer III or IV will collaborate closely with IT, software developers, and organizational leaders to build tailored data solutions that support the mission of Word on Fire.</div><div><br><strong>Location:</strong> Irving</div><div><strong>Employment Type:</strong> Full-time</div><div><br></div><div><strong>Responsibilities</strong></div><ul><li>Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in data volume and complexity</li><li>Build processes supporting data transformation, data structures, metadata, dependency, and workload management</li><li>Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key business processes that depend on it</li><li>Design data modeling processes to create algorithms and predictive models; model key ministry relational data to ensure it is structured, sufficiently normalized, and enables performant access</li><li>Design and construct large relational databases</li><li>Gather requirements and business processes from multiple sources, including feature requests, and product feedback to prioritize data and information requirements; align data architecture with business requirements</li><li>Train and mentor members of the organization on data organization, security, access, and reporting</li><li>Assist ministry data analysts with creating dashboards and reports, ensuring they have access and understanding of the underlying data structures</li><li>Write and maintain a data dictionary or data documentation to communicate data structure to the rest of the ministry</li><li>Use Extract, Transform, Load (ETL) tools to combine and organize data from multiple sources</li><li>Comply with data governance and security requirements</li><li>Manage assigned projects using project management software, communicating with leadership and other teams on available bandwidth, any blocking items, and completed tasks</li></ul><div><br><strong>Requirements</strong></div><ul><li>Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or Electrical Engineering with 4-6 years of experience as a professional software engineer/developer; or 6-8 years of experience as a professional software engineer/developer</li><li>Expert knowledge of relational databases such as MySQL or Postgres</li><li>Strong analytic skills related to working with structured and unstructured datasets</li><li>Proficiency with data pipeline and workflow management tools</li><li>Proficiency is using Business Intelligence software</li><li>Proficiency with object-oriented languages such as Python, PHP, JavaScript, etc.</li><li>Proficiency of data structures, algorithms, and system design</li><li>Experience with working with Cloud compute and storage resources</li><li>Proficiency in basic software project management principles</li><li>Familiarity in using Git to manage code repositories and how to manage code development with a team</li><li>Commitment to the mission of Word on Fire</li></ul><div><br></div><div><strong>Desired Qualifications</strong></div><ul><li>Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets</li><li>Experience with using MySQL to handle millions of rows per table.</li><li>Experience with a business intelligence tool such as Tableau.&nbsp;</li><li>Experience with Google Cloud Platform.</li><li>Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.</li><li>Strong project management and organizational skills</li><li>Experience with machine learning and artificial intelligence</li><li>Experience supporting and working with cross-functional teams in a dynamic environment</li><li>Experience with data governance and privacy laws</li><li>Experience with PHP and Laravel</li><li>Familiarity with the work of Bishop Robert Barron and Word on Fire</li></ul><div><br></div><div><strong>Mission</strong></div><div>Word on Fire Catholic Ministries is a nonprofit global media apostolate that supports the work of Bishop Robert Barron and reaches millions of people to draw them into—or back to—the Catholic faith.</div><div>Word on Fire is founded upon and intent on prioritizing its Catholic religious mission and principles above all else. Word on Fire's religious mission may therefore require that it make employment decisions based on an individual's religion and adherence to the principles of the Catholic Church.</div><div><br></div><div><strong>Employee Benefits</strong></div><div>Word on Fire offers its team members a robust benefits package that includes:</div><ul><li>Competitive compensation</li><li>Work-from-home Wednesdays and up to 20 additional work-from-home days throughout the year</li><li>Several 100% Word on Fire-paid insurance benefits: life, short-term disability, and long-term disability</li><li>Other insurance benefits: medical, dental, vision, HSA, FSA, accident, critical illness, and hospital indemnity</li><li>A retirement plan with a 3% target employer contribution</li><li>Generous paid time off and paid holidays</li><li>Paid parental leaves at 100% of base salary</li><li>Access to Word on Fire’s incredible wealth of content and resources and more!</li></ul>

Data Engineer III or IV

<div><strong>About Company</strong></div><div>Samaritan Ministries is a Biblical solution to health care. It is not insurance. We deliver authentic, compassionate, and personal service in the name of Christ to enable and inspire members to provide for one another’s medical needs through prayer, encouragement, and financial support.<br><br></div><div>From demonstrating Christ-centered compassion to modeling best practices in health care sharing, Samaritan Ministries is committed to keeping Jesus at the center of everything we do. The way we interact with our colleagues and engage with our members is a testament that we are ultimately serving Christ and His Kingdom.<br><br></div><div><strong>Summary</strong></div><div>To provide Samaritan Ministries International with data engineering services of designing and implementing data models while maintaining data fidelity and availability.<br><br></div><div>&nbsp;<strong>Competencies</strong></div><ul><li>Infrastructure</li><li>Analytical Thinking</li><li>Big Data Management</li><li>Data Mining</li><li>Data Governance and Compliance</li><li>Acting with Integrity, Empathy, and Compassion</li><li>Collaborating with Others</li><li>Neighbor Focus</li><li>Pursuing Excellence</li></ul><div>&nbsp;<br><strong>Key Responsibilities</strong></div><ul><li>Produce code to clean the data and ensure the quality of data</li><li>Design processes for transferring data into existing data lake</li><li>Extract and combine data from various heterogeneous data sources</li><li>Analyze complex data sources and assist in the design of new data feeds</li><li>Liaise and coordinate with external data providers to determine how to integrate data into the existing environment and data model</li><li>Support software developers and data scientists on data initiatives, and ensure that the data delivery is consistent across the entire project</li><li>Support quantitative analysts and data scientists with data discovery and rapid assembly of large data sets from disparate sources</li><li>Use modern data tools to support products and services by solving data integration challenges</li><li>Architect, create, and maintain data ETL processes.</li><li>Monitor extract schedules and triggers.</li><li>Develop, maintain, and enforce best practices with regards to data source-controlling, querying, and handling standards.</li><li>Contribute to data catalogs and dictionaries.</li><li>Assist data scientists and analysts with programming and automation needs.</li><li>Prepare and maintain architectures, data, and data models</li></ul><div>&nbsp;<br><strong>Qualifications and Experience</strong></div><ul><li>Master's Degree from an accredited university or the equivalent in education and experience.</li><li>Microsoft SQL Relational Database Management System (MSSQL DBMS) (Advanced)</li><li>Data process creation and architecture (Intermediate)</li><li>Coaching practices for querying data (Advanced)</li><li>Git repository management (Advanced) and pull request oversight</li><li>Extract, Transform and Load (ETL) (Advanced)</li><li>Python (Intermediate)</li><li>Structured Query Language (SQL) (Intermediate)</li></ul><div>&nbsp;</div><div><strong>Additional Information</strong></div><ul><li>Tasks are normally conducted in a regular office environment, requiring use of computer and mouse and other standard office equipment. Staff usually remain in a stationary position, often standing or sitting for prolonged periods.</li><li>Staff will observe safety principles while performing the duties of the position.</li><li>This position requires an active commitment to the mission and values of SMI. In the course of performing job duties, the employee will act in a manner that is Christ-honoring as well as Christ-like, demonstrating a personal Christian faith and witness in all interpersonal interactions.</li><li>Disclaimer: This job description is intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of responsibilities, duties and skills required of personnel in the classification. On occasion work hours may be irregular including performing duties on evenings or weekends.</li><li><strong>Full-time benefits include: Health benefits, Retirement, Paid Time Off. Starting Pay Range: $69,300-$86,600. Starting pay is based off of qualifications and experience.</strong></li></ul>

Data Engineer

<div><strong>Salary</strong>: $103,507 min<br><br></div><div>Full Time, Location: Orlando, Fl, Hybrid (Part of the week in the office and part out)<br><br></div><div>The Data Engineering and Analytics Team Leader designs, builds, and maintains data structures to enable diverse ministry areas to implement their enterprise data and analytics strategy. They will utilize the best in class ETL/ELT tools to develop and manage data pipelines to integrate data from multiple sources for the organization’s enterprise data warehouse (EDW).<br><br></div><div>Data Engineer Specialists create and maintain standard operating procedures for the CI/CD of data pipelines and the training materials that educate and train business and internal IT staff on data coding standards, unit and QA testing, analytical data models and data architecture diagrams. They lead and mentor a team of experienced Data Engineers and Business Intelligence Analysts<br><br></div><div><strong>The Kind of Work You will be Doing:<br></strong><br></div><ul><li>Lead in project planning and management, including the discovery and documentation of requirements for a given project, development, testing as well as learn &amp; maintain proficiency in software platform(s) for designing and delivery of ETL/ELT processes and BI reports/dashboards.</li><li>Lead the creation of dimensional data models, denormalize data from various sources, and optimize models for BI performance in collaboration with BI and data analysts.</li><li>Lead the development of ETL/ELT processes and queries to integrate data from disparate sources, such as Oracle, Postgres, and MySQL databases, into our enterprise data warehouse (EDW).</li><li>Lead the creation of data orchestration solutions to move data from one point to another and coordinate the combining, verifying, and storing of the data for analysis.</li><li>Design, build, and manage end-to-end data pipelines to automate data ingestion, transformation, and loading processes. Monitor pipeline performance, troubleshoot issues, and optimize for efficiency and reliability. Develop scalable, reliable, manageable data pipelines.</li><li>Create standard operating procedures and manuals for CI/CD practices for version control of data integrations and BI solutions.</li><li>Lead code reviews to find causes of errors and determine best solutions for resolving those errors.</li><li>Lead critical data projects, directing other data resources/personnel on projects, reviewing work of others, and keeping leadership informed.</li><li>Assist and speak into the data strategy development, data governance and data management in addition to the availability, usability, integrity, retention, and security of the information/data employed throughout the organization.</li><li>Participate in the data governance and data quality capabilities, and implementation of the data architecture and strategy. This includes the defining of business rules/definitions and providing control on how data is to be used enterprise-wide.</li></ul><div><br><strong>Experience and Skills</strong></div><ul><li>Bachelors Degree preferably in Math, Statistics, Business, Computer Science, or Data Science.</li><li>Preferred Master's in related area.</li><li>7 - 10 years Data engineering/analysis experience.&nbsp;</li></ul>

Data Engineering & Analytics Team Leader

<div>Are you passionate about data, precision, and purpose? Do you possess the skills to architect, construct, and optimize data pipelines that fuel our mission? Are you seeking to work in a technical position with a community of dedicated professionals who share your values and passion for excellence?<br>&nbsp;<br>Ligonier Ministries, a Christian non-profit organization, is seeking a talented Data Engineer to work on the Data Services team. As a Data Engineer at Ligonier, you'll be at the forefront of transforming data into actionable insights. If you're ready to bring your data engineering expertise to a purpose-driven ministry, we'd love to hear from you!</div><div>&nbsp;</div><div><strong>Responsibilities</strong>:</div><ul><li>Design and implement data lakes, data stores, structured data, and a data warehouse using Azure Data Services framework to support business data needs.</li><li>Develop data pipelines and ETL processes to ingest, transform, and load data from various sources into the data warehouse.</li><li>Monitor and optimize data storage, processing, and retrieval performance to meet established SLAs.</li><li>Collaborate with stakeholders to understand and document data requirements, ensuring alignment with business objectives.</li><li>Perform data profiling, data cleansing, and data validation to ensure data integrity and quality.</li><li>Develop and maintain data documentation, including data definitions, data lineage, and data flow diagrams.</li></ul><div><br><strong>Requirements</strong>:</div><ul><li>Azure Services knowledge including the various data services it offers</li><li>Data integration and ETL&nbsp; - proficiency in designing and implementing Extract, Transform, Load processes&nbsp;</li><li>Data modeling and database management - ability to design and implement databases</li><li>Data warehousing - experience with the concepts and tools used for managing and analyzing structured and semi-structured data at scale</li><li>Data transformation and data preparation - proficiency in tools that enable advanced data transformation, analysis, and machine learning</li><li>Scripting and programming - proficiency in languages such as Python, Scala, or .NET</li><li>SQL and query optimization - strong SQL skills for querying and manipulating data efficiently</li><li>Agreement with Ligonier's General Statement of Faith</li></ul><div><br>This position is for a non-profit Christian organization located in Sanford, FL. At this time, we are only able to hire individuals who are authorized to work in the United States.<br><br>The pay range for this position is $75,000 - $95,000 annually. Pay ranges represent the lowest to highest salary we reasonably believe we would pay for this role at the time of posting. We may ultimately offer more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, geographic location, and organizational needs.</div>

<div>At Life.Church, we exist to lead people to become fully devoted followers of Christ. It’s been our mission since 1996 and has guided us every day. Leading people isn’t just an expectation; it’s a necessity.&nbsp; It’s a cornerstone of our culture. That's why we’re always seeking leaders—leaders like you—to bring your skills to life. We are one church meeting in multiple locations, and we want to help you become the person God made you to be.&nbsp;</div><div><br></div><div>The Technology Solutions Team equips the Life.Church staff with the resources and technology that allow the team to know people, tell their stories, and invite others to use their gifts to build the church. We work to empower ministry through the use of technology.</div><div><br></div><div>The Data Insights Data Engineer is responsible for implementing methods to improve data reliability and quality. This role combines raw information from different sources to create consistent and machine-readable formats. Data Engineers are responsible for the processes of installation, data back up, and routine updates for databases. They will also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.<br><br></div><div><strong>What You'll Do</strong></div><ul><li>Data management.</li><li>Responsible for installation, back-ups, and performing routine updates on organizational databases.</li><li>Maintain data integrity through high-performance optimization.</li><li>Manage system integrations to ensure an accurate flow of data while maintaining uptime rates.</li><li>Data modeling.</li><li>Build and implement data mapping, forecasting, and queries.</li><li>Machine Learning and AI.</li><li>Implement and manage ETL and data warehouse processes to ensure clean sources of data for analysts to report from.</li></ul><div><br></div><div><strong>Skills Needed to Succeed</strong></div><ul><li>Excellent verbal, written, and interpersonal communication skills to maintain relationships and partnerships.</li><li>Analytical and problem-solving skills.</li><li>Maintain a systematic and organized approach to completing assignments accurately, thoroughly, and timely.</li><li>Clearly explain complicated and detailed processes in a concise and simple way.</li><li>Ability to self-motivate, take initiative, make independent decisions, and problem-solve.</li><li>Ability to collaborate in a team environment and work independently.</li><li>Strong programming skills, particularly in languages such as Python and SQL.</li><li>Cloud computing skills(Google Cloud).</li></ul><div><br></div><div><strong>Benefits We Offer</strong></div><ul><li>Paid parental leave, including maternity, paternity, and adoption leave.</li><li>Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons.&nbsp;</li><li>Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health.&nbsp;</li><li>Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase.&nbsp;</li><li>Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.</li><li>Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.</li><li>Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn’t stop there—the more years on staff, the greater the investment!&nbsp;</li><li>$160 annually in development dollars for team members to invest in their professional growth.&nbsp;</li><li>Casual dress and work environment.</li><li>Flexible work schedule.</li><li><a href="https://www.life.church/careers/benefits/">And much more!</a></li></ul><div><br></div><div><strong>Our Beliefs, Culture, and Commitment to Diversity</strong></div><div>At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual’s capacity to represent Life.Church’s beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. <a href="https://www.life.church/who-we-are/our-beliefs/">Learn more about what we believe at Life.Church</a>.&nbsp;</div><div><br></div><div>While we unite around our mission, we know unity doesn’t mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, <a href="https://www.life.church/careers/">visit our careers page</a>.&nbsp;</div><div><br></div><div><em>All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.&nbsp;</em></div>

CHRISTIAN DATA ENGINEERJOBS