Senior Data Engineer
540
full-time
Posted on:
Location Type: Hybrid
Location: Falls Church • Virginia • United States
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Job Level
About the role
- 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
Requirements
- 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
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.)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLDatabricksPalantir Foundrydata pipelinesdata transformationdata qualitydata engineeringAgile methodologiesfinancial analytics
Soft Skills
communicationleadershipmentoringcollaborationproblem-solvingstakeholder engagementprioritizationtechnical guidancebest practicesadaptability