Data Engineer

• Design and build scalable data pipelines using Python, SQL, and Databricks (Spark) in support of financial management and operational analytics
• Develop and maintain data products within Palantir Foundry, including pipelines, transforms, and user-facing workflows
• Translate stakeholder and mission requirements into end-to-end technical solutions across Databricks and Foundry environments
• Build and manage workflows and applications within Foundry to support operational and analytical use cases
• Support development of financial analytics datasets used for DoD reporting and decision-making
• Integrate and transform complex datasets from Advana and other DoD systems into production-ready data assets
• Ensure data quality, reliability, and performance across pipelines and workflows
• Collaborate directly with mission stakeholders to understand evolving requirements and deliver impactful solutions
• Lead and mentor a team of data engineers, providing technical guidance and establishing best practices
• Manage and prioritize work using Agile methodologies, ensuring consistent delivery and alignment with mission needs
• Contribute to architecture decisions and help define scalable patterns for data ingestion, transformation, and consumption

Citizenship & Clearance Requirement: per client requirements, candidates must be U.S. Citizens with an active DoW Secret clearance Education Requirement: Bachelor’s Degree in Computer Science, Engineering, or related field (preferred) 540 Internal Thrive Level: Senior Data Engineer, * 7+ years of data engineering or related experience

• Strong hands-on experience with Databricks
• Experience building and managing data pipelines in Python and Databricks
• Experience working with Palantir Foundry, including building pipelines, workflows, or applications
• Strong proficiency in SQL and Python
• Experience designing and implementing end-to-end data solutions based on user or stakeholder requirements
• Experience working within DoW environments or supporting government programs
• Experience working with Advana or similar large-scale government data platforms
• Experience supporting financial management or financial analytics use cases
• Experience leading or mentoring data engineering teams
• Experience working in Agile environments and managing work across sprints
• Strong communication skills and ability to work directly with technical and non-technical stakeholders, * Experience working with Warfighter or operational data platforms
• Familiarity with Palantir Foundry application development patterns (Ontology, Code Repositories, Workshop, etc.)
• Experience optimizing Spark jobs and Databricks performance
• Experience with data governance, lineage, and access controls in enterprise environments
• Experience integrating APIs and external data sources
• Experience working with very large datasets (billions of records)
• Experience with cloud platforms (AWS, Azure, or GCP)

• 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

540 is seeking a Senior Data Engineer to support mission-critical financial analytics initiatives within the DoW, including work on the War Data Platform ((WDP) formerly Advana) and broader warfighter data environments.

In this role, you’ll design and deliver end-to-end data solutions that power financial management and operational decision-making across complex DoW systems. You’ll work across Databricks and Palantir Foundry environments to build scalable data pipelines, develop production-grade data products, enable advanced analytics, and AI workflows for mission stakeholders.

This is a hands-on technical leadership role ideal for someone who thrives in complex data environments, enjoys working directly with users, and can translate real-world requirements into scalable data solutions.