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Automotive Data Engineer Jobs (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

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 ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles.

Safe-Guard Products International LLC

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

We are the leading provider of automotive warranties in North America, providing warranties to a wide variety of clients. Our clients include BMW, Mercedes-Benz, GM, and many more. As a Data Engineer ...

H R PUNDITS INC

Data Engineer

Carrollton, TX · On-site +1

$120K/yr

Day 1 Onsite at customer location Automotive domain Must. Job Functions / Responsibilities ... data engineering role 2+ years of experience with AWS and related services (e.g., EC2, S3, SNS ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133.50K - $160.30K/yr

... Automotive, Transportation Engineering, or a closely related industry. Strong programming skills in Python and SQL. Experience with large datasets and distributed data processing frameworks (e.g ...

Vertex Sigma Software

Data Engineer

Foster City, CA

$133.50K - $160.30K/yr

... Automotive, Transportation Engineering, or a closely related industry. Strong programming skills in Python and SQL. Experience with large datasets and distributed data processing frameworks (e.g ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133.50K - $160.30K/yr

... Automotive, Transportation Engineering, or a closely related industry. Strong programming skills in Python and SQL. Experience with large datasets and distributed data processing frameworks (e.g ...

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129.70K/yr

Data Engineer (Mid-Level) Utah (Remote, Hybrid, and Local Required ) Overview AutoSavvy is a fast-growing automotive retailer focused on providing high-quality, branded title vehicles at competitive ...

Cross Catholic Outreach

Data Engineer

Pompano Beach, FL · On-site

$76K - $85K/yr

Data Engineer Department: Technology and Data Strategy Position Location: Remote Reports to: Data ... Travel may be conducted by airplane, automobile, bus, or other reasonable means. Travel frequency ...

AutoSavvy

Data Engineer

Woods Cross, UT · Remote

$108K - $129.70K/yr

Data Engineer (Mid-Level) Utah (Remote, Hybrid, and Local Required ) Overview AutoSavvy is a fast-growing automotive retailer focused on providing high-quality, branded title vehicles at competitive ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Data Engineer #1052627 * Employees in this job function are responsible for designing, building ... Automotive/IoT Specific: Must have prior experience working with hardware-constrained environments ...

Texas Instruments

Senior Data Engineer

Richardson, TX

$96.30K - $130.80K/yr

... automotive, data center, personal electronics and communications equipment. At our core, we have a ... experience in data engineering or analytics * Strong SQL and Python/PySpark for data ...

Cox Communications, Inc.

Sr Data Engineer

Atlanta, GA · On-site

$101.50K - $169.10K/yr

Company Cox Automotive - USA Job Family Group Engineering / Product Development Job Profile Sr Data Engineer Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work ...

Texas Instruments

Senior Data Engineer

Richardson, TX · On-site

$96.30K - $130.80K/yr

About the Job As a Data Engineer on the Smart Manufacturing and Automation team, you will design ... automotive, data center, personal electronics and communications equipment. At our core, we have a ...

Cox Communications, Inc.

Sr Data Engineer

Atlanta, GA · On-site +1

$101.50K - $169.10K/yr

Company Cox Automotive - USA Job Family Group Engineering / Product Development Job Profile Sr Data Engineer Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work ...

MM International

Data Engineer

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Role- Data Engineer Work location Dearborn, MI Ideal to be local but not required. 12 month ... automotive industry or a large manufacturing environment with hourly employee populations. · ...

GAINSCO

Data Engineer III

Richardson, TX · On-site

$109.50K - $131.50K/yr

In 2020, State Farm Mutual Automobile Insurance Company acquired GAINSCO, Inc. and its subsidiaries ... As a Data Engineer III, you'll play a senior technical role designing, building, and optimizing ...

GAINSCO

Data Engineer III

Richardson, TX

$109.50K - $131.50K/yr

In 2020, State Farm Mutual Automobile Insurance Company acquired GAINSCO, Inc. and its subsidiaries ... As a Data Engineer III, you'll play a senior technical role designing, building, and optimizing ...

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All JobsAutomotive Data Engineer Jobs

Automotive Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do automotive data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for automotive data engineer 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 key skills and qualifications are needed to thrive as an Automotive Data Engineer, and why are they important?

To thrive as an Automotive Data Engineer, you need expertise in data analytics, programming (often Python or SQL), and a strong understanding of automotive systems, typically supported by a degree in computer science, engineering, or a related field. Familiarity with big data platforms (like Hadoop or Spark), automotive communication protocols (such as CAN or LIN), and certifications in data engineering or cloud technologies are highly valued. Strong problem-solving abilities, teamwork, and effective communication help distinguish top performers in this role. These skills are crucial for developing reliable data-driven solutions that enhance vehicle performance, safety, and innovation in a rapidly evolving automotive industry.

What are some common challenges Automotive Data Engineers face when working with vehicle data?

Automotive Data Engineers often encounter challenges related to the sheer volume and complexity of data generated by modern vehicles, including sensor, telematics, and diagnostic information. Integrating data from various sources and ensuring its quality, consistency, and security can be demanding. Additionally, collaborating with cross-functional teams—such as software developers, data scientists, and automotive engineers—requires strong communication skills to align technical requirements and project goals. Adapting to evolving automotive technologies and compliance standards is also crucial for success in this role.

What is an Automotive Data Engineer?

An Automotive Data Engineer is a professional who designs, develops, and manages systems for collecting, processing, and analyzing data generated by vehicles and automotive systems. They work with large datasets from sources such as sensors, telematics, and onboard diagnostics to improve vehicle performance, safety, and efficiency. Their role often involves collaborating with software developers, data scientists, and automotive engineers to build data-driven solutions for connected and autonomous vehicles.

What is the difference between Automotive Data Engineer vs Data Scientist in the automotive industry?

AspectAutomotive Data EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; experience with SQL, Python, big data toolsBachelor's or Master's in Data Science, Statistics, or related; proficiency in Python, R, machine learning
Work EnvironmentAutomotive companies, tech firms, data infrastructure teamsResearch labs, automotive R&D, analytics teams
Employer & Industry UsageFocus on building data pipelines, managing data infrastructure in automotive settingsFocus on analyzing data, creating models for vehicle performance, customer insights

Automotive Data Engineers primarily develop and maintain data infrastructure within the automotive industry, ensuring data flows efficiently. Data Scientists analyze this data to generate insights and predictive models. Both roles often collaborate but focus on different aspects of data management and analysis.

More about Automotive Data Engineer jobs
What cities are hiring for Automotive Data Engineer jobs? Cities with the most Automotive Data Engineer job openings:
What states have the most Automotive Data Engineer jobs? States with the most job openings for Automotive Data Engineer jobs include:
What job categories do people searching Automotive Data Engineer jobs look for? The top searched job categories for Automotive Data Engineer jobs are:
Automotive Data Engineer jobs near you
Infographic showing various Automotive Data Engineer job openings in the United States as of May 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 85% Physical, and 15% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108.40K - $130.10K/yr

Full-time

Posted 26 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

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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