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Automotive Data Engineer Jobs in Countryside, IL

AI Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Required Qualifications • 8+ years of experience in data architecture, data engineering, or ... automotive, or RV/dealership industry data environments. • Relevant certifications (e.g ...

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 ...

Senior Analytics Platform Engineer

Chicago, IL · On-site

$107K - $147K/yr

... automotive industry. Are you a data platform builder who loves owning things end-to-end? If so - we ... As our Analytics Engineer, you'll own the infrastructure, deployment, performance, and operations ...

Senior Analytics Platform Engineer

Chicago, IL · On-site

$107K - $147K/yr

... automotive industry. Are you a data platform builder who loves owning things end-to-end? If so - we ... As our Analytics Engineer, you'll own the infrastructure, deployment, performance, and operations ...

DATA ENTRY SPECIALIST

Chicago, IL · Hybrid

$17.50 - $23.50/hr

Data Entry Specialist Job Type: (Remote) SIKKY MANUFACTURING is a leading manufacturer of high-quality automotive parts and accessories. Our products are designed and engineered to enhance the ...

New

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Familiarity with automotive systems and components Ability to operate test equipment, sensors, data acquisition systems, and instrumentation. Basic understanding of test methods, engineering drawings ...

HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their ... automotive customers. Founded in 1980 and based in Massachusetts, Clean Harbors operates in the ...

Engineer, Validation

Chicago, IL · On-site

$70 - $95/hr

Evaluate validation requirements from automotive clients and develop adequate test methods and ... Analyze a variety of data to identify root cause and propose effective countermeasures; Assist in ...

Torque Controls Engineer

Chicago, IL · On-site

$86K - $102K/yr

Analyze torque data, process capability, and quality performance metrics. * Support integration and ... Automotive, aerospace & defense, industrial equipment, or other complex discrete manufacturing ...

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Automotive Data Engineer information

See Countryside, IL salary details

$43.6K

$127K

$173.8K

How much do automotive data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for automotive data engineer in Countryside, IL is $127,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 per year, depending on experience, location, and employer.

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 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 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 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 cities near Countryside, IL are hiring for Automotive Data Engineer jobs?

Cities near Countryside, IL with the most Automotive Data Engineer job openings:

Senior Data Engineer / Databricks / AI / Chicagoland Area

Motion Recruitment Partners, LLC

Oak Brook, IL • On-site

$115K - $138K/yr

Other

Medical, Dental, Vision

Posted 7 days ago


Job description

A rapidly growing enterprise organization in the automotive technology and distribution space is seeking a Data Engineer to join its team in Oak Brook, Illinois. This full-time role offers the opportunity to build scalable cloud-based data solutions that support analytics, operational reporting, machine learning, and AI initiatives. The ideal candidate will have experience with Python, SQL, modern data platforms, and enterprise-scale ETL development.
What makes this opportunity stand out is the chance to help modernize a complex data ecosystem that spans cloud platforms, APIs, operational applications, and legacy databases. The organization is making substantial investments in data-driven decision making and artificial intelligence, creating an environment where engineers can influence architecture, work with cutting-edge technologies, and make a measurable business impact. This is an ideal role for professionals who enjoy solving large-scale data challenges while collaborating with cross-functional stakeholders.
Required Skills & Experience
  • 4+ years of Data Engineering experience
  • Strong SQL development expertise
  • Python or Scala programming experience
  • Experience building ETL/ELT pipelines
  • Hands-on experience with Snowflake, Databricks, Redshift, or BigQuery
  • Knowledge of data warehousing concepts and dimensional modeling
  • Experience with orchestration platforms such as Airflow, Prefect, or Dagster
  • Understanding of CI/CD practices and version control
  • Experience integrating data from APIs and enterprise applications
Desired Skills & Experience
  • AWS cloud experience
  • Experience with Kafka or Kinesis
  • Streaming data architecture
  • AI/ML data pipeline exposure
  • Supply chain, ERP, or CRM integration experience
  • Data observability and monitoring tools
  • Enterprise-scale data modernization projects
  • Master's degree in Computer Science, Engineering, or related field
What You Will Be Doing
Tech Breakdown
  • 40% Python Development
  • 30% SQL & Data Engineering
  • 20% Cloud Data Platforms (Snowflake/Databricks/AWS)
  • 10% Data Orchestration & Automation

Daily Responsibilities
  • 75% Hands On Engineering
  • 15% Team Collaboration
  • 10% Strategic Architecture & Design

The Offer
  • Competitive Salary
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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