
Analytics Engineer
Posted Aug 6

Posted Aug 6
This is a fully remote position, open to applicants in Virginia.
• Enhance the Common App’s shared data warehouse, semantic layer, and reusable data assets.
• Facilitate scalable analytics, data governance, and readiness for artificial intelligence across the organization.
• Implement governance standards within enterprise systems.
• Construct shared data foundations for the Applied Analytics and Research team.
• Create the reporting schema.
• Optimize existing tables and pipelines for improved performance, cost efficiency, and maintainability.
• Design and put into action automated data quality frameworks.
• Set up monitoring and alert systems for critical datasets and pipelines.
• Keep warehouse data documentation up to date.
• Design scalable, high-quality data products that enable self-service analytics.
• Collaborate with Data Engineering, Applied Analytics and Research, and Data Governance.
• Provide insight-ready data and ensure that governance rules are technically enforceable.
• Contribute to long-term platform planning and organizational data strategies.
• Candidates must reside in the United States.
• Willingness to travel for biannual Common App Retreats.
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Statistics, or a closely related quantitative or technical field; or an equivalent combination of education and experience.
• 5-8 years of progressive experience in analytics engineering, data engineering, or a closely related data platform role.
• Experience in enterprise data warehouse environments at scale, including ownership of data models, transformation pipelines, and data quality processes.
• Proven experience in implementing data governance requirements such as retention, deletion, or PII controls within a production data platform.
• Strong expertise in SQL and data modeling, including dimensional modeling, star/snowflake schemas, and modern data transformation methods.
• Experience designing, building, and maintaining data pipelines and transformation layers within cloud data warehouse platforms such as Databricks, Snowflake, or BigQuery.
• Familiarity with Databricks features such as Unity Catalog, Delta Live Tables, or Databricks workflows.
• Experience in designing and maintaining a semantic or metrics layer for BI tools, analysts, and AI systems.
• Demonstrated thought leadership and innovation in data platform engineering or analytics engineering practices.
• Ability to contribute to long-term platform planning and influence organizational data strategies.
• Experience in implementing automated data quality frameworks with embedded tests, validation logic, and monitoring/alerting.
• Understanding of data governance concepts and the ability to convert retention, PII handling, and access-control requirements into technical implementations.
• Proficiency in Python for data engineering and analytics workloads.
• Familiarity with orchestration tools such as Apache Airflow, dbt Cloud, or Databricks AI/BI.
• Experience in designing and implementing reusable data products and assets for self-service analytics.
• Strong documentation practices, including data dictionaries, lineage records, and model descriptions.
• Excellent interpersonal, communication, collaboration, and influencing skills.
• Proficiency with GitHub and Git.
• Advanced training and experience in Tableau, data catalog/metadata management tools, Agile frameworks, and relevant data engineering or cloud platform certifications, particularly within higher education, nonprofit, or mission-driven technology sectors, are ideal candidate qualifications.
• Work-Life balance
• Virtual-first office
• Paid Time Off (PTO)
• Seven company-wide holidays
• Nine floating holidays
• Sick leave
• Monthly mental health day
• Choice of PC or MAC laptop
• External monitor, keyboard, mouse, and/or headset
• One-time office set-up stipend
• Monthly remote work stipend
• Monthly mobile stipend
• Market-based salaries
• Performance-based bonus
• 403(b) retirement plan
• 5% company contribution
• Additional 5% company match
• 3-year vesting schedule
• Participation may begin immediately
• Choice of two health insurance plans
• Health Savings Account, depending on health plan selection
• Medical Flexible Savings Account, depending on health plan selection
• Vision insurance
• Dental insurance
• Insurance coverage begins on the date of hire
• Dependent Care Flexible Spending Account
• Maven virtual clinic for women’s and family health
• Company provided life and AD&D insurance
• Opportunity to purchase additional life insurance for self, spouse, and dependents
• Company provided short and long-term disability insurance
• Budgeted annual funds for professional development
• Growth opportunities within the company
• Mutual of Omaha Employee Assistance Program
• Mutual of Omaha will preparation services
• Mutual of Omaha travel assistance
• Payroll deduction pet insurance through PinPaws
• 1Password family account
• Diverse, collaborative, team-oriented, creative environment
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