Data Platform Engineer (Army Vantage) - Clearance Required

LMI•Remote,

6d•$130,000 - $170,000•Remote

About The Position

LMI is seeking a Data Platform Engineer to develop software programs supporting the Army Materiel Command and the Army’s AI2C organization. The role focuses on building and operating data pipelines, ontologies, and applications within Palantir Foundry (Vantage), with additional work in Databricks for large-scale data processing and analytics engineering. It also involves developing Microsoft Power Platform applications and integrating Vantage with external platforms, including Microsoft Dataverse and Power Platform. The position offers opportunities to provide technical leadership and expand development work with customers. The role is remote; candidates able to work on-site in Pittsburgh are preferred. Travel is 10%. An active Secret clearance or the ability to obtain one is required, and only U.S. citizens are eligible for a security clearance. LMI is a digital solutions provider serving federal agencies and the defense, space, healthcare, and energy sectors. The company describes its work as combining commercial-grade platforms, mission-ready AI, federal deployment expertise, and collaboration to deliver outcomes for government missions.

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 data engineering experience, including hands-on experience building and operating applications on Palantir Foundry (Vantage).
Demonstrated experience with Microsoft Power Platform, Dataverse, Power Apps, and Power Automate for a Defense client or 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, using tools such as pandas, PySpark, or NumPy.
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.
Demonstrated experience in leadership roles, technical mentorship, or client relationship management.
Active Secret Clearance or ability to obtain one; applicants must be U.S. citizens to be eligible for a security clearance.
Ability to communicate technical concepts to non-technical stakeholders and work independently as well as collaboratively.

Nice To Haves

Experience integrating AI/ML capabilities into Foundry or Databricks applications and identifying strategic AI use cases.
Familiarity with AI frameworks and APIs such as OpenAI, Anthropic Claude, or LangChain, 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 or air-gapped Foundry instances.
Knowledge of the Army software development process and its technologies, or experience developing applications for classified data.
Background in strategic planning or consulting 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 a related field.
Ability to work on-site in Pittsburgh.

Responsibilities

Design and develop enterprise applications using Microsoft Power Platform, Dataverse, Power Apps, Power Automate, JavaScript, HTML, CSS, and Power Query.
Scale Dataverse solutions using tables, data types, data mapping, and entity relationship diagrams.
Co-lead data engineering efforts in 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 such as PySpark and Pipeline Builder, Code Repositories, and Foundry’s data connection framework.
Develop and maintain Databricks data engineering workflows using notebooks, Delta Lake tables, and Spark jobs for workloads that complement or feed into Foundry.
Advise on and help write, design, and implement efficient, reusable, reliable code using Python, PySpark, SQL, and TypeScript/JavaScript as needed for Foundry Workshop or Slate applications.
Translate data science and analytics outputs into governed, reusable data products surfaced through Foundry and Databricks.
Lead integration of AI/ML capabilities into Foundry- and Databricks-based applications and identify opportunities to use emerging AI technologies, including Foundry AIP and Databricks ML/AI tooling.
Champion AI-forward, platform-first development practices and guide implementation of AI/ML features and data-driven experiences.
Provide technical leadership and mentorship across Foundry (Vantage) and Databricks.
Identify and pursue opportunities to expand development initiatives with Army stakeholders.
Collaborate with data scientists, UX designers, and software developers using Git; participate in code reviews and Agile methodologies.
Engage Army managers and representatives in a consultative capacity to identify data platform needs, explore data-driven and AI solutions, and build relationships that expand the development footprint.
Work independently and collaboratively in strategic and consultant-oriented environments, and communicate technical concepts to non-technical stakeholders to inform strategic decisions.