Senior Data Engineer [Palantir Foundry] - Clearance Required

Senior Vantage/Foundry Engineer

We are seeking an experienced and driven Senior Vantage/Foundry Engineer to lead the development and implementation of impactful data solutions within the Palanir Foundry platform. In this role, you will architect and scale robust data pipelines while transforming raw data from authoritative Army sources into structured, actionable "Objects" within the Vantage/Foundry environment. You will provide strategic direction for leveraging these platforms to deliver key business insights, enhance data-driven decisions, and create scalable solutions within the Army Vantage ecosystem.

This position offers an opportunity to work on cutting-edge projects, focusing on ontology management, technical innovation, and enabling critical leadership decisions across the organization. Join us to drive meaningful impact and shape the future of data engineering in a high-impact environment.

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.

Core Responsibilities:

• Vantage/Foundry Platform Proficiency:
  In-depth knowledge of Palantir Foundry, including the tools, services, workflows, and ecosystem.
• Data Engineering:
  Extensive experience in ETL/ELT processes, database storage, SQL/PySpark/Java programming languages, developing complex pipelines leveraging disparate data sources, and developing Ontology objects within Vantage.
• Ontology & Pipeline Development:
  Experience building ontologies, pipelines, and operational applications in Foundry
• Cloud & Data Tools:
  Familiarity with cloud-based design/verification tools, Azure Data/AI stack (Databricks, Synapse, Data Factory), and Microsoft Power Platform (Power BI, Power Automate, Power Apps)
• Programming & Scripting:
  Proficiency in Python, PySpark, Java, SQL, Type Script, React, and scripting for automation
• API Development:
  Familiarity with developing APIs in tools such as Express.
  
  JS, Flask, and/or Fast API.
• Data Analytics/Scientist:
  Skills in data science, statistical analysis, and visualization for process improvement and yield optimization
• Architectural Leadership:
  Lead key architectural decisions for data processing, transformation, analysis, and delivery using the Vantage platform.
• Data Expertise:
  Serve as a subject matter expert in data modeling, database development, and troubleshooting complex data challenge.
• Technical Mentorship:
  Provide mentorship and technical leadership, guiding less experienced engineers on best practices, architectural decisions, and skill development.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field
• 10 years of experience in data engineering, with at least 7+ years of hands-on experience in Teradata Vantage, SQL, and advanced data analytics.
• Proficient in scripting languages such as Python or Shell Scripting.
• Expertise in optimizing ETL/ELT pipelines and database performance.
• Strong communication and stakeholder management skills, with the ability to lead and mentor a technical team.
• Must hold an Active Security Clearance [SECRET]
• Prior experience working in high-scale environments with structured/unstructured data.

Additional

Preferred Qualifications:

• Experience integrating AI/ML capabilities into web applications and identifying strategic AI use cases
• Familiarity with AI frameworks and APIs (OpenAI, Anthropic Claude, Lang Chain, or similar)
• Experience with advanced data visualization techniques and dashboarding tools
• Knowledge of statistical analysis and machine…