Key skills
ETLPythonSparkSQLTableauData EngineeringAnalyticsDatabricksGit
About this role
Role Overview
- Develop and maintain scalable data pipelines using Spark (Python/SQL) in a Databricks environment
- Integrate and transform diverse DoD healthcare and financial datasets into production-ready data products
- Support development of financial analytics datasets used for Defense Health Program reporting
- Monitor, troubleshoot, and optimize scheduled workflows and production data pipelines
- Implement data validation, quality checks, and governance processes
- Collaborate with engineers, analysts, and stakeholders to ensure data supports operational decision-making
Requirements
- 3+ years of data engineering or related experience
- Strong Python experience
- Experience engaging with clients and/or stakeholders
- Experience building and maintaining data pipelines and ETL processes
- Experience working with Databricks or similar modern data platforms
- Experience consuming data via APIs
- Familiarity with Git-based development workflows
- Comfortable working in terminal / command-line environments
- Experience with data visualization tools (Tableau or similar)
Tech Stack
- ETL
- Python
- Spark
- SQL
- Tableau
Benefits
- Flexible PTO + all Federal holidays off
- Health, dental and vision insurance plans
- Flexible Spending Account (FSA)
- 401k with employer match
- Company-sponsored life insurance, short
- and long-term disability
- Professional development (training, certifications, conferences)
- Paid cloud developer accounts
- Referral bonuses
- HQ office perks (parking / metro reimbursement, nitro coffee & lunches)
- Annual social events (540 Week, hackathon, charity golf tournament, etc.)
- Access to 540’s Washington Capitals & Nationals tickets