<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>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>

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