Senior Data Engineer

540

Senior Data Engineer designing and delivering scalable data solutions for financial management in complex DoW systems. Collaborating with mission stakeholders and leading data engineering teams while utilizing modern data tools.

Posted 4/20/2026full-timeFalls Church • Virginia • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLDatabricksPalantir Foundrydata pipelinesdata transformationdata qualitydata engineeringAgile methodologiesfinancial analytics

Soft Skills

communicationleadershipmentoringcollaborationproblem-solvingstakeholder engagementprioritizationtechnical guidancebest practicesadaptability