Remotery

Analytics Engineer

atCommon AppRemoteUS flagVirginiaFull-timeAnalytics EngineerMid-levelSenior$106.1k – $119.3k/year

Posted Aug 6

This is a fully remote position, open to applicants in Virginia.

📋 Description

• 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.


⛳️ Requirements

• 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.


🏝️ 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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