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Data Engineer Palantir Jobs in Michigan (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Hands-on experience with Palantir Foundry, Snowflake Intelligence * Master's degree in Data Science, Statistics, Engineering, Computer Science, or related field.

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Hands-on experience with Palantir Foundry, Snowflake Intelligence * Master's degree in Data Science, Statistics, Engineering, Computer Science, or related field. * This is a fast-paced environment ...

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI

$90K - $153K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field. * 2+ years of hands-on Palantir Foundry development experience.

KLA

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$90K - $153K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field. * 2+ years of hands-on Palantir Foundry development experience.

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in enabling this vision by designing, building, and ... Palantir Foundry) Our Benefits -- Designed with You in Mind Comprehensive Health & Well-being ...

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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.

What are popular job titles related to Data Engineer Palantir jobs in Michigan?

For Data Engineer Palantir jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Engineer Palantir jobs in Michigan look for?

The top searched job categories for Data Engineer Palantir jobs in Michigan are:

What cities in Michigan are hiring for Data Engineer Palantir jobs?

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

Data Engineer Palantir jobs near you

Data Engineer

Auburn Hills, MI • On-site

Stellantis
IT Services

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Good employer

Recommended by students

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Learn more about Stellantisexternal

$108K - $130K/yr

Full-time

Re-posted 23 days ago

Job description

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer, preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern analytics, automation and AI-enabled solutions. This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure), Databricks, Palantir Foundry, and the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse). The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost engineering, finance and purchasing data.
You will manage end-to-end project execution, while working closely with business and ICT partners to deliver scalable, secure, and high-impact data products. Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly preferred.
Basic Qualifications:
  • Bachelor's degree in Computer Science (or a related technical field.).
  • 3+ years of professional experience technical project delivery, data engineering, or analytics platform implementation.
  • Demonstrated project management skills: planning, execution, stakeholder management, risk management, and delivery governance.
  • Finance or costing background, with understanding of cost drivers, financial models, or cost engineering processes.
  • Data engineering exposure: pipelines, transformations, data modeling concepts, and working with data engineering teams.
  • Experience with one or more cloud database environments such as Snowflake, AWS, or Azure.
  • Hands-on development and experience with one or more of the following:
  • Snowflake, AWS, or Azure
  • Databricks
  • Palantir Foundry
  • SQL
  • Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse)

Preferred Qualifications:
  • Automotive industry experience, particularly in cost engineering, manufacturing, or product development.
  • Experience with agentic AI chatbot development or internal AI assistants.
  • Knowledge of Generative AI and familiarity with Microsoft Copilot capabilities and adoption strategies.
  • Experience with enterprise governance for analytics platforms.
  • Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

Skills & Competencies:
  • Strong communication skills: ability to explain technical details to non-technical stakeholders and align decisions quickly.
  • Highly organized with strong attention to detail; effective at managing ambiguity and changing priorities.
  • Ability to influence across teams without direct authority; strong facilitation and conflict resolution skills.
  • Analytical mindset with comfort interpreting data issues (reconciliation, validation, root cause analysis).
  • Customer-focused approach: understands end-user workflow pain points and drives practical, adoptable solutions.
  • Passion for digital transformation, automation, and AI-driven solutions.

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