Data Engineer

LMI

Data Engineer building and operating data pipelines and applications for the Army’s AI2C organization. Working with Palantir Foundry and Databricks to integrate AI/ML capabilities.

Posted 7/27/2026full-timePittsburgh • Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $101,144 - $174,591 per yearWebsite

Tech Stack

Tools & technologies

D3.jsJavaScriptNumpyPandasPySparkPythonSparkSQLTypeScript

About the role

Key responsibilities & impact

Lead data engineering efforts within Palantir Foundry (Vantage), including ontology design, pipeline development, and data integration for Army AI2C mission applications
Build, maintain, and optimize Foundry pipelines using Python-based transforms (PySpark/Pipeline Builder), Code Repositories, and Foundry’s data connection framework
Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment
Write, design, and implement efficient, reusable, and reliable code using Python, PySpark, SQL, and TypeScript/JavaScript as needed for Foundry Workshop or Slate applications
Translate complex data science and analytics outputs into governed, reusable data products surfaced through Foundry and Databricks
Lead the integration of AI/ML capabilities into Foundry and Databricks-based applications, identifying opportunities to leverage emerging AI technologies (including Foundry AIP or Databricks ML/AI tooling)
Champion AI-forward, platform-first development practices and guide the team in implementing AI/ML features and data-driven experiences
Provide technical leadership and mentorship to grow the team’s capabilities across Foundry (Vantage) and Databricks
Identify and pursue opportunities to expand development initiatives with Army stakeholders
Collaborate effectively with data scientists, UX designers, and software developers using Git, participating in code reviews and adopting Agile methodologies
Engage with Army managers and representatives in a consultative capacity to identify data platform needs, explore innovative data-driven solutions including AI applications, and build strategic relationships that expand our development footprint

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Data Engineering, Software Engineering, Information Systems, or a related field, or equivalent work experience
3-5 years of experience in data engineering, with hands-on experience building and operating applications on the Palantir Foundry (Vantage) platform
Demonstrated experience with Foundry pipeline development (PySpark/Pipeline Builder), Code Repositories, ontology/object modeling, and Foundry Workshop application building
Working experience with Databricks, including notebooks, Delta Lake, and Spark-based data processing, as a secondary platform to Foundry
Proficiency in Python and SQL for data manipulation and pipeline development (pandas, PySpark, numpy, or similar)
Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop widgets) for surfacing pipeline outputs
Demonstrated experience in planning, analyzing, designing, implementing, testing, and maintaining data pipelines and applications for an enterprise-level system
Familiarity with Git, Agile methodologies, CI/CD, and automated deployments
Demonstrated experience in leadership roles, technical mentorship, or client relationship management
Active Secret Clearance or ability to obtain one is required

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account LMI Website LinkedIn All Job Openings 1001 - 5000 employees Founded 1961 📦 Logistics 🏥 Healthcare 🎖️ Defense Logistics
Healthcare
Defense LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships. Data Engineer 🔥 5 minutes ago 🏢🏡 Pittsburgh – Hybrid 💵 $101.1k - $174.6k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor D3.js JavaScript Numpy Pandas PySpark Python Spark SQL TypeScript Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Lead data engineering efforts within Palantir Foundry (Vantage), including ontology design, pipeline development, and data integration for Army AI2C mission applications
Build, maintain, and optimize Foundry pipelines using Python-based transforms (PySpark/Pipeline Builder), Code Repositories, and Foundry’s data connection framework
Develop and maintain data engineering workflows in Databricks, including notebooks, Delta Lake tables, and Spark jobs, for workloads that complement or feed into the Foundry environment
Write, design, and implement efficient, reusable, and reliable code using Python, PySpark, SQL, and TypeScript/JavaScript as needed for Foundry Workshop or Slate applications
Translate complex data science and analytics outputs into governed, reusable data products surfaced through Foundry and Databricks
Lead the integration of AI/ML capabilities into Foundry and Databricks-based applications, identifying opportunities to leverage emerging AI technologies (including Foundry AIP or Databricks ML/AI tooling)
Champion AI-forward, platform-first development practices and guide the team in implementing AI/ML features and data-driven experiences
Provide technical leadership and mentorship to grow the team’s capabilities across Foundry (Vantage) and Databricks
Identify and pursue opportunities to expand development initiatives with Army stakeholders
Collaborate effectively with data scientists, UX designers, and software developers using Git, participating in code reviews and adopting Agile methodologies
Engage with Army managers and representatives in a consultative capacity to identify data platform needs, explore innovative data-driven solutions including AI applications, and build strategic relationships that expand our development footprint 🎯 Requirements
Bachelor’s degree in Computer Science, Data Science, Data Engineering, Software Engineering, Information Systems, or a related field, or equivalent work experience
3-5 years of experience in data engineering, with hands-on experience building and operating applications on the Palantir Foundry (Vantage) platform
Demonstrated experience with Foundry pipeline development (PySpark/Pipeline Builder), Code Repositories, ontology/object modeling, and Foundry Workshop application building
Working experience with Databricks, including notebooks, Delta Lake, and Spark-based data processing, as a secondary platform to Foundry
Proficiency in Python and SQL for data manipulation and pipeline development (pandas, PySpark, numpy, or similar)
Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop widgets) for surfacing pipeline outputs
Demonstrated experience in planning, analyzing, designing, implementing, testing, and maintaining data pipelines and applications for an enterprise-level system
Familiarity with Git, Agile methodologies, CI/CD, and automated deployments
Demonstrated experience in leadership roles, technical mentorship, or client relationship management
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