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Automotive Data Engineer Jobs in Chicago, IL (NOW HIRING)

ITW Automotive

Design Engineer

Richton Park, IL · On-site

Design automotive parts and systems to meet new vehicle specifications and internal requirements ... data transfers between customers and suppliers. · Manage all aspects of design projects, as ...

Snap-on Inc

Automotive Testing Technician

Lincolnshire, IL · On-site

$25 - $35/hr

Daily data entry into bug tracking program. * Taking recordings of vehicle data when required by ... Interacting with in-house Applications and Engineering to explain details of problems found (when ...

Snap-on Inc

Automotive Testing Technician

Lincolnshire, IL · On-site

$25 - $35/hr

Daily data entry into bug tracking program. * Taking recordings of vehicle data when required by ... Interacting with in-house Applications and Engineering to explain details of problems found (when ...

AMBE Engineering LLC

Quality Engineer

Chicago, IL · On-site

$74K - $95K/yr

The ideal candidate is an innovative, data-driven leader with a passion for quality management and ... At least 3 years in an automotive manufacturing environment as a quality coordinator or quality ...

Dynamic Manufacturing

Test Engineer

Hillside, IL · On-site

$65K - $120K/yr

The Test Engineer will be responsible for designing, implementing, and maintaining testing ... automotive drivetrain and powertrain parts * Data acquisition systems such as NI hardware ...

Optimal Inc.

Product Body Engineer

Chicago, IL · On-site

Analyze warranty claim data and customer feedback to identify failure trends, emerging issues, and ... Automotive OEM or Tier 1 supplier experience in: Body systems, closures, or vehicle ...

ITW Automotive

Quality Engineer

Richton Park, IL

$71K - $92K/yr

... ITW) Automotive segment, drives profitability by leveraging its innovative solutions and ... Cpk, Ppk data          •  Assist manufacturing engineers with RPN reduction ...

Optimal Inc.

Product Body Engineer

Chicago, IL · On-site

Analyze warranty claim data and customer feedback to identify failure trends, emerging issues, and ... Automotive manufacturing, OR Plant quality, product engineering, or warranty analysis roles Hands ...

Optimal Inc.

Product Body Engineer

Chicago, IL · On-site

Analyze warranty claim data and customer feedback to identify failure trends, emerging issues, and ... Automotive manufacturing, OR Plant quality, product engineering, or warranty analysis roles Hands ...

Sterling Engineering Inc.

Quality Engineer

Barrington, IL · On-site

$90K - $110K/yr

The position supports multiple industries including aerospace, automotive, medical, energy ... Apply statistical methods to collect, analyze, interpret, and summarize production data to improve ...

Epitec

Product Engineer Body

Chicago, IL · On-site

$49 - $50/hr

... an automotive assembly plant environment. This role is focused on urgent root cause analysis ... Analyze warranty claim data and customer feedback to identify failure trends, emerging issues, and ...

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All JobsAutomotive Data Engineer JobsAutomotive Data Engineer Jobs in Chicago, IL

Automotive Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do automotive data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for automotive data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

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 key skills and qualifications are needed to thrive as an automotive data engineer?

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 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.

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 are popular job titles related to Automotive Data Engineer jobs in Chicago, IL? For Automotive Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Automotive Data Engineer jobs in Chicago, IL look for? The top searched job categories for Automotive Data Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Automotive Data Engineer jobs? Cities near Chicago, IL with the most Automotive Data Engineer job openings:
Automotive Data Engineer jobs near you
Infographic showing various Automotive Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

AIA-MLEU-AZURE DATA LEAD

Avani Technology Solutions, Inc.

Chicago, IL • On-site

$65.50 - $85.25/hr

Contractor

Re-posted 10 days ago

Job description

Job title AZURE DATA LEAD Job summary Design Build Test Deploy Support data processing components and systems utilizing cloud compute technologies including Azure Cloud. Experience 10to14yrs Required Skills Technical Skills- Microsoft SSIS Azure Data Factory Databricks Spark Domain Skills- Automotive Industry Nice to have skills Technical Skills- MS Power BI Azure DW Azure Storage Domain Skills- Technology Microsoft Data Management Shift Day Roles & Responsibilities Responsibilities: Design and build data processing components and systems utilizing cloud compute technologies including Azure Cloud. Build ETL pipelines using workflow management applications such as SSIS Azure Data Factory and distributed computing such as Databricks Spark . Acquire analyze combine synthesize and store data from a wide range of internal and external sources as it pertains to system development. Experience with SAP systems will be plus. Builds and tests CI/CD deployment pipelines for data system components. Required Qualifications: 10+ years of experience in data engineering data warehousing or related field. Deep understanding relational database systems modern Data warehouse platforms like Azure SQL Synapse. Mastery of SQL Data warehouse design and implementation experience in cross-functional area like Sales & Distribution Supply Chain Finance Marketing etc. Experience building and automating data system components that enable - Data acquisition cleansing and persistence data engineering Experience with Azure technologies such as Storage solutions Azure Blob storage Azure Data Lake Storage gen2 Azure SQL Database etc. Deployment through a CI/CD pipeline with Azure DevOps preferred Experience with analytics tools such as Databricks Spark PySpark etc. Experience in the full data engineering life-cycle from business understanding to building operational systems. Must have excellent data problem solving skills communication skills and can execute alone but is an awesome team player. Excellent teamwork coordination influencing and communication skills. Job Location Primary: USILCIAC02-Chicago - IL USA CLT Alternate: Demand Requires Travel-N Certification(s) Required-NA
Hours : 8:00am to 5:00pm
Education :
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