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Data Engineer Palantir Jobs in Arizona (NOW HIRING)

Objectways

Data Engineer, Palantir Foundry

Phoenix, AZ · On-site

About the role Data Engineer with hands-on Palantir Foundry experience to design, build, and operate production pipelines and ontologies. You'll own pipelines end-to-end -- from raw ingestion to ...

New

Deloitte

Forward Deployed Engineer- Palantir

Tempe, AZ · On-site

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... Work you'll do As a Palantir FDE, you will work side by side with senior functional and technical ...

Deloitte

Lead Forward Deployed Engineer, Palantir

Tempe, AZ · On-site

$98K - $129K/yr

Engineering & Data Foundations * Review and contribute to production-quality code * Guide ... Work you'll do As a Lead Palantir FDE, you will serve as the senior practitioner-leader embedded ...

Deloitte

Senior Forward Deployed Engineer, Palantir

Tempe, AZ · On-site

$100K - $137K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... Work you'll do As a Senior Palantir FDE, you will work side by side with senior functional and ...

Onset

Palantir Developer

Phoenix, AZ · On-site

$103K - $120K/yr

Ensuring health of data connections and pipelines (utilizing filesystem, JDBC, SFTP, and webhook ... Lead other engineers to develop features on your projects Job Requirements:  Bachelor's degree ...

McCarthy Holdings, Inc.

AI Engineer II

Phoenix, AZ · On-site

$88K - $121K/yr

This is a hands-on engineering role focused on implementation, experimentation, deployment, and ... Experience working within Palantir Foundry, including ontology-driven development, data products ...

McCarthy Holdings, Inc.

AI Engineer II

Phoenix, AZ · On-site

$88K - $121K/yr

This is a hands-on engineering role focused on implementation, experimentation, deployment, and ... Experience working within Palantir Foundry, including ontology-driven development, data products ...

Komatsu

Inventory Planner

Mesa, AZ

This role is ideal for a data-driven professional who enjoys solving complex supply chain ... Utilize advanced analytics, Power BI, Palantir, and the Supply Chain Control Tower to identify ...

Komatsu

Inventory Planner

Mesa, AZ · On-site

This role is ideal for a data-driven professional who enjoys solving complex supply chain ... Utilize advanced analytics, Power BI, Palantir, and the Supply Chain Control Tower to identify ...

Komatsu

This role is ideal for a data-driven professional who enjoys solving complex supply chain ... Utilize advanced analytics, Power BI, Palantir, and the Supply Chain Control Tower to identify ...

All JobsData Engineer Palantir JobsData Engineer Palantir Jobs in Arizona

Data Engineer Palantir information

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 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 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 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.

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Cities in Arizona with the most Data Engineer Palantir job openings:

Data Engineer Palantir jobs near you

Data Engineer, Palantir Foundry

Objectways

Phoenix, AZ • On-site

Other

Posted yesterday

New

Job description

About the role

Data Engineer with hands-on Palantir Foundry experience to design, build, and operate production pipelines and ontologies. You'll own pipelines end-to-end — from raw ingestion to curated ontology objects — and partner with analysts, data scientists, and business owners to deliver governed data products.


Work Authorization:

U.S. Citizens or Lawful Permanent Residents (Green Card Holders) only due to client ITAR requirements


Required qualifications:

  • 5–6 years of professional data engineering experience.
  • Hands-on production Palantir Foundry, including Code Repos, Pipeline Builder, Ontology Manager, Workshop.
  • Strong Python, PySpark, and SQL with proven Spark performance tuning.
  • Solid grasp of dimensional modeling, incremental processing, and data quality frameworks.
  • Experience with AWS, Azure, or GCP and modern formats (Parquet, Delta, Iceberg).
  • Comfortable with Git-based workflows and CI/CD.
  • Must be a US citizen or Green Card holder. Not eligible for visa sponsorship or transfer.


What you'll do:

  • Build scalable Foundry pipelines using PySpark, Python, and SQL transforms.
  • Model and maintain Ontology objects, links, and actions for core business entities.
  • Develop operational apps with Workshop, Quiver, and Contour for end users.
  • Integrate Foundry with upstream sources (DBs, APIs, cloud storage) and downstream consumers.
  • Implement data quality checks, health monitors, and incremental builds.
  • Apply Foundry's security model — markings, projects, RBAC — for governance and compliance.
  • Mentor engineers on Foundry best practices and pipeline design patterns.

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