Data Engineer

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

📋 Description

• Design, develop, and sustain scalable, production-ready data pipelines utilizing Spark, Python, and SQL within a Databricks environment.

• Integrate and transform a variety of health, financial, and operational datasets into dependable, reusable data products.

• Create data models and analytics datasets that support enterprise reporting and operational decision-making.

• Establish and maintain API-based integrations for data ingestion and exchange across different systems.

• Monitor, troubleshoot, and enhance scheduled workflows and production pipelines to ensure performance, reliability, and scalability.

• Implement data validation, quality checks, lineage, and governance practices.

• Contribute to automated testing, code reviews, technical documentation, and reusable engineering patterns.

• Collaborate with engineers, architects, analysts, and customer stakeholders to convert data needs into effective technical solutions.

⛳️ Requirements

• Remote work is available within the continental United States; occasional travel may be necessary.

• Must be a U.S. Citizen with an active DoD Secret (or higher) clearance.

• Over 3 years of experience in data engineering, software engineering, or a related technical field.

• Strong expertise in Python and SQL.

• Familiarity with Apache Spark or comparable distributed data-processing frameworks.

• Experience with Databricks or a similar advanced data platform.

• Proven track record in building and maintaining production data pipelines and ETL/ELT processes.

• Knowledge of data modeling and the transformation of raw data into reusable analytics datasets or data products.

• Experience with data integration or consumption through REST APIs.

• Skills in troubleshooting and optimizing data pipelines for performance and reliability.

• Understanding of data validation, quality, governance, security, privacy, and compliance factors.

• Proficient with Git-based development workflows and contemporary software engineering practices.

• Comfortable working in terminal and command-line environments.

• Experience utilizing AI-assisted development tools to expedite routine engineering tasks, testing, documentation, and debugging.

• Strong communication capabilities with experience engaging customers or stakeholders to comprehend and address data needs.

• Ability to manage ambiguity, learn new systems, and independently drive assigned tasks toward resolution.

• AWS cloud experience, familiarity with large datasets, Palantir Foundry, Advana or similar DoD data environments, GitLab, CI/CD pipelines, automated deployment workflows, and experience with regulated or sensitive data are advantageous.

🏝️ Benefits

• Flexible PTO plus all Federal holidays off.

• Health, dental, and vision insurance plans.

• Flexible Spending Account (FSA).

• 401k plan with employer match.

• Company-sponsored life insurance, short- and long-term disability coverage.

• Opportunities for professional development, including training, certifications, and conferences.

• Paid cloud developer accounts.

• Referral bonuses.

• HQ office perks such as parking/metro reimbursement, nitro coffee, and lunches.

• Annual social events including 540 Week, hackathons, charity golf tournaments, and more.

• Access to tickets for the Washington Capitals and Nationals through 540.