Data Platform Engineer – Clearance Required

LMI

. Design and develop enterprise applications using Microsoft Power Platform, Dataverse, Power Apps, Power Automate, JavaScript, HTML, CSS, and Power Query .

Posted 11/3/2026full-timeRemote • Pennsylvania • United StatesMid-LevelSenior💰 $130,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing enterprise applications using Microsoft Power Platform, Dataverse, and Foundry, with a strong focus on data engineering and AI/ML integration. Proven ability to lead technical initiatives, mentor teams, and communicate effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

Microsoft Power PlatformPalantir Foundry (Vantage)Python ProgrammingData EngineeringAI/ML Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DataversePower AppsPower AutomateSQLPySparkDatabricksDelta LakeJavaScriptHTMLCSS

Soft Skills

Technical LeadershipMentorshipCollaborationCommunicationClient Relationship Management

Tools & Technologies

GitAgile MethodologiesCI/CDPower BID3.js

Certifications & Qualifications

Active Secret Clearance

Industry Keywords

Data EngineeringEnterprise ApplicationsAI SolutionsGovernment ClientsDoD

Tech Stack

Tools & technologies

D3.jsJavaScriptNumpyPandasPySparkPythonSparkSQLTypeScript

About the role

Key responsibilities & impact

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
Develop and maintain Databricks workflows, including notebooks, Delta Lake tables, and Spark jobs
Advise on and implement efficient, reusable, and reliable code using Python, PySpark, SQL, and TypeScript/JavaScript
Translate data science and analytics outputs into governed, reusable data products in Foundry and Databricks
Lead integration of AI/ML capabilities into Foundry and Databricks applications
Champion AI-forward, platform-first development practices and guide implementation of AI/ML features
Provide technical leadership and mentorship across Foundry (Vantage) and Databricks
Identify opportunities to expand development initiatives with Army stakeholders
Collaborate with data scientists, UX designers, and software developers using Git, code reviews, and Agile methodologies
Engage Army managers and representatives to identify data platform needs, explore data-driven and AI solutions, and build strategic relationships
Work independently and collaboratively in strategic and consultant-oriented environments
Communicate technical concepts to non-technical stakeholders and influence strategic decisions

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
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
Intermediate proficiency in Python and SQL for data manipulation and pipeline development, including pandas, PySpark, numpy, or similar
Familiarity with data visualization approaches such as Power BI, D3.js, Plotly, Recharts, or Foundry-native Workshop widgets
Experience 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
Experience in leadership roles, technical mentorship, or client relationship management
Active Secret Clearance or ability to obtain one is required
Applicants must meet eligibility requirements for a U.S. Government security clearance
Only US Citizens are eligible for a security clearance
Preferred: experience integrating AI/ML capabilities into Foundry or Databricks-based applications
Preferred: familiarity with AI frameworks and APIs such as OpenAI, Anthropic Claude, LangChain, or similar, and Foundry AIP
Preferred: knowledge of statistical analysis and machine learning concepts
Preferred: experience with Storybook
Preferred: deployment experience across multiple environments and platforms, including classified/air-gapped Foundry instances
Preferred: knowledge of the Army software development process and its technologies or experience developing applications for classified data
Preferred: background supporting government or DoD clients in strategic planning or consultant environments
Preferred: track record of expanding technical scope or footprint with government customers
Preferred: 7+ years of directly related experience
Preferred: Master’s degree in a related field
Candidates with the ability to be on-site in Pittsburgh are preferred
10% travel required

Benefits

Comp & perks

Remote work capacity
Opportunity to provide technical leadership and strategically grow the development footprint with customers
Technical mentorship and team capability growth
10% travel requirement
Equal employment opportunities
Disability accommodations during the application process