Analytics Engineer

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🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $106.1k - $119.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Common App

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1975

📚 Education

☁️ SaaS

Education • SaaS

Common App is a widely used platform that simplifies the college application process for students applying to multiple institutions. It offers resources and tools for students, counselors, and colleges to streamline the application process, promote access and equity, and provide insights through reports. Common App connects students to a wide array of colleges, offering information on financial aid and scholarships, as well as support for transfer and first-year student applications. The platform aims to inspire and facilitate higher education pursuits with a focus on equity and integrity in the admissions process.

📋 Description

• 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