Analytics Engineer
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Job Description
Analytics Engineer building governed warehouses, semantic layers, and reusable data assets for Common App. Enabling scalable analytics and college admissions research through reliable data infrastructure.
Responsibilities:
- Evolve Common App’s shared data warehouse, semantic layer, and reusable data assets.
- Enable scalable analytics, data governance, and artificial intelligence readiness across the organization.
- Operationalize governance standards within enterprise systems.
- Build shared data foundations for the Applied Analytics and Research team.
- Develop the reporting schema.
- Refactor existing tables and pipelines for performance, cost efficiency, and maintainability.
- Design and implement automated data quality frameworks.
- Establish monitoring and alerting for critical datasets and pipelines.
- Maintain warehouse data documentation.
- Architect scalable, high-quality data products that support self-service analytics.
- Partner with Data Engineering, Applied Analytics and Research, and Data Governance.
- Deliver insight-ready data and ensure governance rules are technically enforceable.
- Contribute to long-term platform planning and organizational data strategies.
Requirements:
- Candidates must live in the United States.
- Willing to travel to attend twice annual Common App Retreat.
- 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.
- Experience implementing data governance requirements such as retention, deletion, or PII controls within a production data platform.
- Strong SQL and data modeling expertise, including dimensional modeling, star/snowflake schemas, and modern data transformation approaches.
- Experience designing, building, and maintaining data pipelines and transformation layers within cloud data warehouse platforms such as Databricks, Snowflake, or BigQuery.
- Experience with Databricks features including Unity Catalog, Delta Live Tables, or Databricks workflows.
- Experience designing and maintaining a semantic or metrics layer for BI tools, analysts, and AI systems.
- 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 implementing automated data quality frameworks with pipeline-embedded tests, validation logic, and monitoring/alerting.
- Understanding of data governance concepts and ability to translate 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 designing and implementing reusable data products and assets for self-service analytics.
- Strong documentation practices, including data dictionaries, lineage records, and model descriptions.
- Strong interpersonal, communication, collaboration, and influencing skills.
- Proficiency with GitHub and Git.
- Advanced Tableau training and experience, data catalog/metadata management tools, Agile frameworks, higher education/nonprofit/mission-driven technology, and relevant data engineering or cloud platform certifications are ideal-candidate qualifications.
Benefits:
- 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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