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LMI

Data Platform Engineer (Army Vantage) - Clearance Required

United States

The target salary range for this position is $130,000-$170,000.

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Job details

Pay: The target salary range for this position is $130,000-$170,000.
Apply by: Nov 2, 2027
Posting language: English
Posted: Nov 2, 2026

Original job description

Overview

LMI is seeking a skilled Data Platform Engineer to join our team and contribute to developing innovative software programs that support activities for the Army Materiel Command and Army’s AI2C organization in a remote capacity. Power Platform and Application development experience is preferred, with model-driven and canvas applications leveraging Dataverse, Power Automate, JavaScript, HTML, CSS, Power Query, Dataverse dataflows. This role is also centered on building and operating data pipelines, ontologies, and applications within Palantir Foundry (Vantage), with additional responsibilities extending into Databricks for large-scale data processing and analytics engineering. Demonstrated know-how to integrate Vantage with external platforms, including importing and exporting data between Vantage and MicroSoft Dataverse/Power Platform is highly desired. This position offers an opportunity to provide technical leadership while strategically growing the development footprint with customers. Candidates should be comfortable working in a fast-paced, flexible environment and be self-directed, collaborative, and eager to grow technically. Candidates with the ability to be on-site in Pittsburgh are preferred.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors - helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

Design and develop enterprise applications using Microsoft Power Platform, Dataverse, Power Apps, Power Automate, JavaScript, HTML, CSS, and Power Query
Scale Dataverse solutions with tables, data types, data mapping and entity relationship diagrams
Co-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 as a key member of tech team
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
Advise and help 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 and 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
Comfortable working independently and as a member of a team, with demonstrated ability to work in strategic and consultant-oriented environments
Excellent verbal and written communication skills with ability to articulate technical concepts to non-technical stakeholders and influence strategic decisions

Qualifications

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 Microsoft Power Platform, Dataverse, Power Apps and Power Automate for a Defense client/customer
Preliminary experience with Databricks, including notebooks, Delta Lake, and Spark-based data processing, as a secondary platform to Foundry
Intermediate proficiency in Python and SQL for data manipulation and pipeline development (pandas, PySpark, numpy, or similar)
Familiarity with data visualization approaches (Power BI, 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

Additional Preferred Qualifications

Experience integrating AI/ML capabilities into Foundry or Databricks-based applications and identifying strategic AI use cases
Familiarity with AI frameworks and APIs (OpenAI, Anthropic Claude, LangChain, or similar) and with Foundry AIP
Knowledge of statistical analysis and machine learning concepts
Experience with Storybook for component development, documentation, and design system management
Hands-on deployment experience across multiple environments and platforms, including classified/air-gapped Foundry instances
Knowledge of the Army software development process and its technologies or experience developing applications for classified data
Background working in strategic planning or consultant environments supporting government or DoD clients
Proven track record of expanding technical scope or footprint with government customers
7+ years of directly related experience
Master’s degree in Computer Science, Data Science, Data Engineering, Software Engineering, Information Systems, or related field
On-site (Pittsburgh) candidates preferred

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Percentage of Travel Required: 10%

The target salary range for this position is $130,000-$170,000.

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Job Locations US-Remote US-PA-Pittsburgh

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Skills

Microsoft Power Platform
Microsoft Power Automate
JavaScript
HTML
CSS
Power Query
Databricks
Power Apps
Data engineering
Python
PySpark
Apache Spark
SQL
TypeScript
ML
Leadership
Git
Agile
Work independently
Communication skills
Computer science
Process data
pandas
NumPy
Data visualization
Microsoft Power BI
CI/CD
LangChain
Statistics
Machine learning
Documentation
Software development
Strategic planning

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