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Data Engineer Palantir Jobs in Reston, VA (NOW HIRING)

Palantir Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

: The Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. The Data Engineer will also integrate ...

Palantir Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

BT - 348 Palantir Data Engineer Project: Shining Star Location: Chantilly, VA (fully on-site, no remote option) **Please do NOT apply if you do not have an active Poly clearance. Those without a Poly ...

Palantir Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

The Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. They will be responsible for all ...

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

The Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. They will be responsible for all ...

Data Engineer

Chantilly, VA

$117K - $140K/yr

We are seeking a skilled, detail-oriented Data Engineer with expertise in Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured data from ...

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Data Engineer Palantir information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do data engineer palantir jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer palantir in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Palantir vs Data Analyst Palantir?

AspectData Engineer PalantirData Analyst Palantir
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and deriving insights
Required SkillsSQL, Python, data architecture, ETL processesSQL, Excel, data visualization, statistical analysis
Work EnvironmentTechnical teams, data engineering projects, infrastructure developmentBusiness teams, reporting, data interpretation
Common CertificationsGoogle Cloud Certified, AWS Data Analytics, Microsoft Certified: Data Analyst AssociateMicrosoft Certified: Data Analyst Associate, Tableau Desktop Specialist

While Data Engineer Palantir focuses on building and maintaining the data infrastructure, Data Analyst Palantir concentrates on analyzing data and providing insights. Both roles require strong SQL skills and familiarity with Palantir platforms, but they serve different functions within data teams.

What are common challenges data engineers face when working with Palantir's platforms, and how can they be addressed?

Data Engineers at Palantir often encounter challenges such as integrating disparate data sources, maintaining data quality, and ensuring data security within complex environments. Addressing these challenges requires strong collaboration with cross-functional teams, continuous learning of Palantir’s proprietary tools like Foundry, and implementing best practices for data governance. Proactively communicating with stakeholders and leveraging Palantir’s support resources can help resolve integration issues and optimize data pipelines.

What skills and qualifications are needed to thrive as a data engineer at Palantir?

To thrive as a Data Engineer at Palantir, you need strong programming skills (Python, Java, or Scala), in-depth knowledge of database systems, and experience with large-scale data pipelines, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, and Palantir Foundry, as well as familiarity with cloud platforms (AWS, GCP, or Azure), is typically required. Outstanding problem-solving abilities, collaboration, and adaptability help you work effectively in dynamic, cross-functional teams. These skills and qualities are vital for building robust data solutions that drive impactful insights and support complex client operations.

What does a data engineer at Palantir do?

A Data Engineer at Palantir is responsible for designing, building, and maintaining the data infrastructure that powers Palantir’s software platforms. They work closely with clients to ingest, process, and transform large volumes of data from disparate sources, ensuring that data is reliable, accessible, and optimized for analysis. Data Engineers also collaborate with other technical teams to implement data integration pipelines, develop scalable solutions, and help organizations make data-driven decisions using Palantir's tools.
What are popular job titles related to Data Engineer Palantir jobs in Reston, VA? For Data Engineer Palantir jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Palantir jobs in Reston, VA look for? The top searched job categories for Data Engineer Palantir jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Engineer Palantir jobs? Cities near Reston, VA with the most Data Engineer Palantir job openings:

Data Engineer [Palantir Foundry] - Clearance Required

LMI Consulting, LLC

Fort Belvoir, VA • On-site

$129K - $155K/yr

Other

Posted 2 days ago

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Job description

Data Engineer [Palantir Foundry] - Clearance Required
Job Locations US-VA-Fort Belvoir
Job ID 2026-14389 # of Openings 2 Benefit Type Salaried High Fringe/Full-Time
Overview

LMI is seeking an experienced and driven 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

Responsibilities

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/Python programming languages, developing complex pipelines leveraging disparate data sources, and developing Ontology objects within Vantage.
  • Ontology & Pipeline Development:Experience building ontologies, pipelines, and/or experience building complex data pipelines leveraging technologies such as Pandas, Pyspark, and/or similar technologies.
  • 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, TypeScript, 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

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • 5-7 years of experience in data engineering, with at least 3+ years of hands-on experience in Palantir Foundry/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.
  • Prior experience working in high-scale environments with structured/unstructured data.
  • Must hold an Active Security Clearance [SECRET]

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, LangChain, or similar)
  • Experience with advanced data visualization techniques and dashboarding tools
  • 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/platforms
  • Experience developing applications for classified data
  • Experience integrating machine learning and analytical tools into production applications
  • Knowledge of the Army software development process and its technologies
  • 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
  • Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or related field.

#LI-SH1

Target salary range: $83,426 - $144,890. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.

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.

Job Locations
US-VA-Fort Belvoir

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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