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Automotive Data Jobs (NOW HIRING)

CDK Data Services, Inc. is the automotive industries engine for automotive data. We collect, standardize, cleanse, enhance and serve data for Auto, Heavy Truck, and Agricultural OEM's (Original ...

CDK Data Services, Inc. is the automotive industries engine for automotive data. We collect, standardize, cleanse, enhance and serve data for Auto, Heavy Truck, and Agricultural OEM's (Original ...

Senior Data Scientist

Sunnyvale, CA · Hybrid

$209K - $298K/yr

About you Essential * 7+ years experience in systems engineering, automotive data analysis, data science, or a related field. * Experience analyzing or defining ODDs in the context of AV/ADAS ...

Senior Data Scientist

Sunnyvale, CA · On-site

$209K - $298K/yr

About you Essential * 7+ years experience in systems engineering, automotive data analysis, data science, or a related field. * Experience analyzing or defining ODDs in the context of AV/ADAS ...

TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and ...

Data Scientist

Dallas, TX · On-site

$140 - $210/hr

TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and ...

Data Engineer

Sherman, TX · On-site

$102K - $122K/yr

TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and ...

Data Engineer

Sherman, TX · On-site

$102K - $122K/yr

TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and ...

Data Engineer

Sherman, TX

$102K - $122K/yr

TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and ...

Showing results 21-40

Automotive Data information

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$10

$23

$52

How much do automotive data jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for automotive data in the United States is $23.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $26.44 per hour, depending on experience, location, and employer.

What is an automotive data?

An Automotive Data job involves collecting, analyzing, and interpreting data related to vehicles, driving patterns, manufacturing processes, and performance metrics. Professionals in this field use data to improve vehicle safety, optimize designs, enhance fuel efficiency, and support predictive maintenance. This role often requires expertise in data science, analytics, and industry-specific software. Automotive data specialists work with manufacturers, suppliers, and technology firms to drive innovation and efficiency in the automotive sector.

What types of teams or departments does an automotive data professional typically collaborate with?

Automotive Data professionals frequently work alongside engineering teams, product development, IT, and marketing departments to provide critical data insights for vehicle design, performance metrics, and consumer trends. They may also coordinate with external partners, such as telematics providers or research firms, to gather and process large data sets. This role often involves presenting findings to both technical and non-technical stakeholders, ensuring that data-driven recommendations are integrated into business strategies. Collaborative efforts are essential for leveraging data across multiple areas of an automotive business and supporting continuous improvement initiatives.

What are the key skills and qualifications needed to thrive in the automotive data position, and why are they important?

To thrive in an Automotive Data role, you need strong analytical abilities, proficiency in data management, and a solid understanding of automotive systems, often backed by a degree in data science, engineering, or a related field. Familiarity with tools such as SQL, Python, automotive analytics software, and experience with large databases or telematics platforms is highly valuable. Attention to detail, effective communication, and strong problem-solving skills help candidates excel in interpreting and presenting complex data. These skills are crucial for deriving actionable insights that drive business decisions and optimize performance in the automotive industry.

More about Automotive Data jobs

What cities are hiring for Automotive Data jobs?

Cities with the most Automotive Data job openings:

What are the most commonly searched types of Automotive Data jobs?

The most popular types of Automotive Data jobs are:

What states have the most Automotive Data jobs?

States with the most job openings for Automotive Data jobs include:

Infographic showing various Automotive Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $49,702 per year, or $23.9 per hour.

Data Engineer - Vehicle Configuration Optimization

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Posted 26 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 44 rated automakers


Job description

We are seeking a Data Engineer to help build and scale the data foundation for our Vehicle Configuration Optimization (VCO) initiative. This role will focus on ingesting, transforming, and structuring data from enterprise systems (e.g., Snowflake data lake) into Databricks, enabling advanced analytics and modeling downstream.
This is an ideal role for an early-to-mid career engineer who thrives in building reliable, scalable data systems and wants to work at the intersection of automotive data and advanced analytics.
Key Responsibilities:
  • Build and maintain data pipelines that ingest data from Snowflake into Databricks
  • Design and implement data transformations aligned to the medallion architecture (Bronze/Silver/Gold layers)
  • Ensure pipeline health, stability, monitoring, and performance optimization
  • Develop robust ETL/ELT workflows using Python and SQL
  • Create clean, curated datasets to support analytics, simulation, and machine learning use cases
  • Partner closely with data scientists, analysts, and business stakeholders to understand data needs
  • Implement data quality checks, validation processes, and governance standards

Basic Qualifications:
  • Minimum 5 years of experience in data engineering or similar role
  • Bachelors Degree
  • Strong hands-on experience with Databricks (critical requirement)
  • Proficiency in SQL and Python
  • Experience building and maintaining data pipelines and ETL processes
  • Familiarity with cloud data platforms (Azure preferred, but AWS/GCP acceptable)
  • Solid understanding of data modeling and medallion architecture concepts

Preferred Qualifications:
  • Experience with Snowflake and data lake architectures
  • Exposure to automotive, connected vehicle, or IoT datasets
  • Experience with Spark / PySpark
  • Familiarity with pipeline orchestration and monitoring tools

Understanding of downstream analytics or ML use cases

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