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Data Engineer Palantir Jobs (NOW HIRING)

We are looking for a Palantir Foundry Data Engineer with hands-on experience in developing data pipelines, data models, and operational applications within the Foundry platform.

Palantir Data Engineer

Baltimore, MD · On-site

$77K - $176K/yr

R0238897 Palantir Data Engineer The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities ...

Palantir Data Engineer The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented ...

Data Engineer with Palantir

Dallas, TX · On-site

$113K - $136K/yr

Strong Experience with programming languages using Python and SQL is must. * Strong Experience with Palantir foundry software is must. * Strong experience in analyzing large data set and resolve ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Experience with data platforms like Databricks, Palantir, and Snowflake * Familiarity with data ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

Showing results 41-60

Data Engineer Palantir information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer palantir jobs pay per year?

As of Jul 25, 2026, the average yearly pay for data engineer palantir in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.

How much does a data engineer make at Palantir?

A data engineer at Palantir typically earns between $100,000 and $150,000 annually, depending on experience, location, and skill set. Compensation may also include bonuses and stock options, with the role often requiring proficiency in tools like SQL, Python, and cloud platforms.

Is it hard to get hired at Palantir?

Getting hired as a Data Engineer at Palantir can be competitive, often requiring strong technical skills in data processing, programming (such as Python or Java), and experience with big data tools like Spark or Hadoop. The hiring process typically involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit, making it a challenging but achievable goal for qualified candidates.

What are some 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.

Can a data engineer make 200k?

Data engineers, especially those with experience, specialized skills, and working in high-paying industries or companies, can earn salaries of $200,000 or more annually. Factors such as location, certifications, and expertise in tools like Spark or cloud platforms influence earning potential.

What are the key skills and qualifications needed to thrive as a Data Engineer at Palantir, and why are they important?

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 is a Palantir data engineer?

A Palantir data engineer is a professional responsible for designing, building, and maintaining data pipelines and infrastructure using Palantir's software platforms. They work with large datasets, often utilizing tools like Palantir Foundry, and require skills in data modeling, programming, and database management to support data integration and analysis efforts.
More about Data Engineer Palantir jobs
What cities are hiring for Data Engineer Palantir jobs? Cities with the most Data Engineer Palantir job openings:
What states have the most Data Engineer Palantir jobs? States with the most job openings for Data Engineer Palantir jobs include:
Infographic showing various Data Engineer Palantir job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Palantir Foundry Data Engineer (Contract)

Symhas

Nashville, TN • On-site

$88 - $90/hr

Contractor

Posted 5 days ago


Job description

Location: Nashville, TN
Duration: 6-month contract
Experience: 5+ years

Work Authorization: Only U.S. Citizens and Green Card holders will be considered. Candidates must be able to work on our W2.

Hiring Timeline: Please note our end-to-end hiring cycle typically takes 60–70 days due to the client's MSP onboarding and background check (BGC) process. This role is not a fit for candidates seeking an immediate start or an immediate jump — please apply only if you are comfortable with this timeline.

Position Summary

We are seeking a Palantir Foundry Data Engineer to build and operate data integration pipelines, Ontology-driven data models, and operational applications on the Palantir Foundry platform. The role involves connecting enterprise source systems into Foundry, designing clean and governed datasets, building Workshop applications for business users, and collaborating with stakeholders to turn data into decision-ready workflows.

Technical Stack
  • Platform: Palantir Foundry (Pipeline Builder, Code Repositories, Ontology, Workshop, Contour, Quiver)
  • AI Layer: Palantir AIP (agents, AIP Logic, LLM-backed workflows)
  • Languages: Python, PySpark, SQL, TypeScript (Functions)
  • Data Integration: Data Connection (JDBC, REST APIs, file-based syncs), incremental pipelines, CDC patterns
  • Data Modeling: Ontology object types, links, actions; dimensional and object-oriented modeling
  • Quality & Governance: Data expectations/health checks, lineage, granular permissions, Projects & Markings
  • DevOps: Git-based Code Repositories, branching, CI checks, release management
Responsibilities
  • Build and maintain data integration pipelines from enterprise source systems into Foundry using Pipeline Builder and Code Repositories (PySpark/SQL)
  • Design and evolve the Foundry Ontology — object types, properties, links, and actions — to model core business entities and workflows
  • Develop Workshop applications and operational dashboards that put governed data in the hands of business users
  • Implement data quality expectations, health checks, and monitoring to keep datasets reliable and trustworthy
  • Leverage AIP to build AI-assisted workflows and automation where appropriate
  • Partner with business stakeholders, analysts, and platform administrators on requirements, permissions, and release management
Required Experience
  • 5+ years of data engineering experience, including 1+ years of hands-on Palantir Foundry delivery in production
  • Strong PySpark/Python and SQL skills with experience building incremental, production-grade pipelines
  • Experience designing Foundry Ontology models and building Workshop applications used by real business users
  • Solid understanding of data governance: permissions, lineage, data quality frameworks, and release practices
  • Nice to have: Palantir certifications (Foundry Data Engineer / AIP), TypeScript Functions, and experience in healthcare, supply chain, or financial services domains