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Data Engineer - Clearance Required

$101,144–$174,591Remote, hiring in Pennsylvania

Build and lead data engineering for Army AI2C mission applications, centered on Palantir Foundry (Vantage) with Databricks as a complementary platform.

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At a glance

Posted base pay

$101K–$175KBelow the median

Midpoint $138K · median $190K

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations

Travel Up to 10%

Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 3+ yearsData engineering experience, including hands-on building and operating applications on Palantir Foundry
  • 7+ yearsDirectly related experiencePreferred

Background

  • Software engineering
  • Implementation and data engineering

Do you meet what the posting states?

The posting asks for 3+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The work is remote from the US. Can you work from the US?

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Conditions

Location
Pittsburgh, PA · US remote
Work arrangement
Remote
Remote work restrictions
US-Remote; Pittsburgh on-site candidates preferred
Travel
Up to 10%
Pay
Pay details

The target salary range for this position is $101,144 - $174,591.

More like this

What you’ll do

  • Lead Foundry ontology design, pipeline development, and data integration for Army AI2C applications.
  • Build and maintain Foundry and Databricks data workflows and reusable data products.
  • Integrate AI/ML capabilities into platform-based applications and guide AI-forward development practices.
  • Mentor team members and collaborate with data scientists, designers, and developers.

What you’ll bring

  • Bachelor’s degree in a related field or equivalent work experience.
  • 3-5 years of data engineering experience, including hands-on Palantir Foundry application development.
  • Experience with Foundry pipelines, ontology/object modeling, Code Repositories, and Workshop applications.
  • Working experience with Databricks, Delta Lake, and Spark-based processing; proficiency in Python and SQL.

About LMI

LMI delivers consulting, technology platforms, and mission systems to U.S. federal agencies across defense, space, homeland security, healthcare, and intelligence.

Late-stage private · 2000–5000 people

View posting at LMI

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