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Data Engineer - Palantir Foundry - Must be government clearance eligible

Navaide navaide.com Open · verified Oct 24, 2026
Remote Arlington Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Navaide. Remote, United States · full-time · $100,000–$175,000 base.

SalaryStated by Navaide
$100,000 – $175,000
Base salary for this role, in USD per year, as published in the posting.
This role, from NavaideOur estimate for the market: $116,100–$152,875Median $128,450
The range includes the market median of $128,450 for mid-level data engineering roles in Arlington, compared against the Arlington market.
Worked out from 10 postings that stated pay, median $128,450. Last updated Oct 20, 2026.
RoleData Engineering
SeniorityMid-level
LocationArlington
WorkplaceRemote
EmploymentFull-time
Base pay$100,000–$175,000
PostedOct 8, 2026 · 2w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and support Foundry ETL/ELT pipelines, moving data from raw ingestion through staging into production datasets
  • Bring logistics, personnel, and financial data into Foundry by connecting and syncing external systems
  • Shape Foundry ontologies with object types, properties, and links that represent mission processes and support downstream workflows
  • Set up data quality checks, lineage tracking, and monitoring to catch failures, trace data origins, and support compliance
  • Work with analysts, product leads, and mission stakeholders to turn needs into documented data products and set engineering standards

What you bring

  • At least four years in data engineering, platform engineering, or analytics engineering
  • Hands-on experience delivering production pipelines, data connections, and ontologies in Palantir Foundry
  • Strong Python and SQL skills, plus eligibility to obtain a U.S. government security clearance
  • A relevant technical bachelor's degree or equivalent experience

Who this fits

This role suits a mid-level engineer with Foundry experience who can work across technical teams and client stakeholders. It includes mentoring junior engineers and travel of up to ten percent. The role is listed as remote in Arlington, while the posting describes it as hybrid.

From the employer

  • Data Engineer - Palantir Foundry - Must be government clearance eligible

Data Engineer - Palantir Foundry
Hybrid | Full-Time

About Navaide
Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments.

Catalysts for a Stronger Tomorrow
At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.

How You Will Make an Impact

Navaide is seeking a skilled Data Engineer to lead data engineering and analytics projects within the Palantir Foundry platform. The ideal candidate will be proficient in data architecture, processing, and solution development in Foundry’s native platform. This role involves close collaboration with various departments and key client stakeholders to design and implement data solutions that enhance operational efficiency and decision-making. If you are proactive, curious, and a skilled analytics technologist with a pragmatic approach to engineering challenges, this role may be perfect for you.

Key Duties & Responsibilities

Pipeline Design & Orchestration

  • Pipeline Development: Build and maintain ETL/ELT pipelines in Foundry’s Pipeline Builder and Code Repositories — from raw ingest through staging to curated, production-ready datasets.
  • Data Integration: Connect and sync external source systems into Foundry using Data Connection, unifying data across logistics, personnel, and financial domains.
  • Ontology Modeling: Design and extend object types, properties, and links in Ontology Manager, reflecting real-world mission processes and back downstream workflows.
  • Pipeline Hygiene: Enforce automation, version control, orchestration, and health monitoring via Data Lineage to keep data flows secure, repeatable, and auditable.
  • Architecture Standards: Define and enforce data architecture standards for distributed environments within Foundry and adjacent platforms.

Data Quality, Governance & Observability

  • Data Quality: Build scalable, rule-based methods in Foundry to assess accuracy, completeness, and timeliness — with feedback loops that drive remediation.
  • Lineage & Compliance: Leverage Data Lineage to trace dataset provenance, supporting discovery, traceability, and regulatory compliance.
  • Performance Optimization: Tune pipeline schedules, workloads, and resource allocation for cost-efficient, reliable performance.
  • Monitoring: Surface latency issues and pipeline failures against SLAs.

Collaboration & Standards Development

  • Cross-Team Partnership: Work directly with analysts, product leads, and mission stakeholders to translate requirements into clean, well-documented data products.
  • Technical Leadership: Mentor junior engineers and establish Foundry engineering standards for naming, object design, testing, and change management.

Relevant Skills & Experience

  • 4+ years of experience in data engineering, platform engineering, or analytics engineering
  • Hands-on experience building and maintaining production-grade pipelines, data connections, and ontologies in Palantir Foundry (Pipeline Builder, Code Repositories, Ontology Manager, Data Lineage, Workshop)
  • Strong proficiency in Python and SQL; comfort with TypeScript/JavaScript
  • Traditional data lakehouse experience (Databricks, Snowflake, dbt)
  • Familiarity with Foundry Data Connection architecture — setting up sources and syncs from external systems
  • Proven delivery in DoD or federal environments
  • Familiarity with Navy, DON, or DoD logistics, financial, or personnel data landscapes
  • Strong communication skills; able to work across technical and non-technical stakeholders
  • Palantir Foundry Data Engineer or Application Developer certification preferred
  • Eligibility to obtain US Government Security Clearance

Travel
Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events.

Education
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.

What We Offer

Navaide is committed to fostering a supportive, inclusive, and forward-thinking workplace where our team members can thrive. Our benefits are designed to support your well-being, professional growth, and ability to work at a sustainable pace.

  • Competitive compensation: $100,000 - $175,000 / year (commensurate with experience)
  • Comprehensive benefits, including medical, dental, and vision coverage
  • Flexible time off
  • Professional development opportunities
  • Company perks such as flex spending, wellness initiatives, etc.
  • 401(K) matching

About Our Culture

Navaide honors integrity, curiosity, diligence, and collaboration in everything we do. We believe in building strong relationships with our clients, communities, and teammates, united by a shared purpose of creating a stronger tomorrow. Navaide is proud to be an Equal Employment Opportunity employer.

Ready to Make a Difference?

For more about us, please check out the following links:

Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

No third parties, please.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data EngineeringRemote$100k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.