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Automotive Data Engineer Jobs in Gilbert, AZ (NOW HIRING)

You will report to the Sr. AI & Data Science Manager and collaborate to execute, mentor and ... With a focus on automotive and industrial end-markets, the company is accelerating change in ...

... automotive aftermarket products. Our portfolio of iconic brands powers enthusiasts and racers ... Key Responsibilities: ERP Master Data Management * Create and maintain item master records within ...

Mechanical Engineer

Phoenix, AZ · On-site

$90 - $120/hr

... automotive aftermarket products. Our portfolio of iconic brands powers enthusiasts and racers ... Key Responsibilities: ERP Master Data Management * Create and maintain item master records within ...

New

... automotive technologies. We invest in our employees, providing them with the support and resources ... Importantly, no applicant data is shared externally through these AI tools. All information remains ...

... automotive technologies. We invest in our employees, providing them with the support and resources ... Importantly, no applicant data is shared externally through these AI tools. All information remains ...

We are the leading provider of high-end connecting solutions for automotive and industrial ... data centers, medical and agricultural. Position will also grow and develop sales for our Metallic ...

Automotive or electric vehicle manufacturing experience. * Experience supporting product launches ... Candidate Data Privacy By submitting your application, you understand and agree that your personal ...

We are the leading provider of high-end connecting solutions for automotive and industrial ... data centers, medical and agricultural. Position will also grow and develop sales for our Metallic ...

Quality Product Engineer

Chandler, AZ · On-site

$70K - $91K/yr

Implement strategies to build in and improve NPI product quality, leveraging data-driven insights ... Ensure or define standards compliance for Automotive products: Clearly define customer level ...

Quality Product Engineer

Chandler, AZ · On-site

$70K - $91K/yr

Implement strategies to build in and improve NPI product quality, leveraging data-driven insights ... Ensure or define standards compliance for Automotive products: Clearly define customer level ...

Quality Product Engineer

Chandler, AZ

$70K - $91K/yr

Implement strategies to build in and improve NPI product quality, leveraging data-driven insights ... Ensure or define standards compliance for Automotive products: Clearly define customer level ...

Senior Software Engineer

Tempe, AZ · On-site

$117K - $154K/yr

In 2024, we have not only emerged as the fastest growing automotive retailer, but also the most ... Perform data storage and persistence containers querying using SQL, NoSQL, and caching technologies

Senior Software Engineer

Tempe, AZ

$117K - $154K/yr

In 2024, we have not only emerged as the fastest growing automotive retailer, but also the most ... Perform data storage and persistence containers querying using SQL, NoSQL, and caching technologies

Showing results 21-40

Automotive Data Engineer information

See Gilbert, AZ salary details

$44.4K

$129.3K

$176.9K

How much do automotive data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for automotive data engineer in Gilbert, AZ is $129,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,100.00 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 are popular job titles related to Automotive Data Engineer jobs in Gilbert, AZ?

For Automotive Data Engineer jobs in Gilbert, AZ, the most frequently searched job titles are:

What job categories do people searching Automotive Data Engineer jobs in Gilbert, AZ look for?

The top searched job categories for Automotive Data Engineer jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Automotive Data Engineer jobs?

Cities near Gilbert, AZ with the most Automotive Data Engineer job openings:

Infographic showing various Automotive Data Engineer job openings in Gilbert, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,302 per year, or $62.2 per hour.

AI Solutions Engineer

onsemi

Scottsdale, AZ • On-site

Full-time

Posted 15 days ago


Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description


We are seeking for Staff AI Solutions Engineer to help deliver scalable AI/ML solutions across multiple business functions in onsemi. This role will be responsible for building AI/ML solutions and ensuring responsible AI governance in alignment with onsemi's policies. You will report to the Sr. AI & Data Science Manager and collaborate to execute, mentor and accelerate AI/ML project delivery to drive business value.
We're looking for a hands-on experienced engineer who can lead technical execution and mentor junior engineers. As a player-coach, you'll be deeply involved in the technical details-guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning, Azure AI Foundry and MLflow. Your expertise in building scalable GenAI solutions and driving AI adoption will be instrumental n driving innovation.
Responsibilities
  • Assist decisions spanning the full AI/ML stack-from foundational infrastructure like model registries, CI/CD pipelines, and feature stores, to advanced orchestration and observability frameworks for LLMs using tools such as LangGraph, MLflow, Azure ML etc,
  • Deliver data science project, from ideation to production, ensuring alignment with business goals and technical feasibility.
  • Ensure compliance with onsemi's Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use.
  • Partner with Infrastructure, Security, data engineering, and business teams to ensure end to end project delivery & execution.
  • Build and optimize Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge sources, vector databases, and search technologies to improve response accuracy and relevance.
  • Develop integrations with enterprise applications such as SAP, Salesforce, ServiceNow, SharePoint, Microsoft 365, and custom business systems through APIs and middleware platforms.
  • Establish monitoring, evaluation, and observability frameworks to track model performance, response quality, hallucinations, latency, user adoption, and business value realization.
  • Perform prompt engineering, workflow orchestration, model fine-tuning, and AI solution optimization to enhance effectiveness, user experience, and cost efficiency.
  • Deploy AI solutions on Azure cloud and establish reusable design patterns.

Qualifications
Requirements:
  • Master's or PhD in Computer Science, Data Science, Statistics, or a related field.
  • 7-10 years of experience in AI/data science.
  • Proven experience deploying AI/ML solutions in production environments.
  • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
  • Excellent communication and stakeholder management skills.
  • Experience in semiconductor, manufacturing, or industrial domains is a plus.

Preferred Knowledge and Experience:
  • Semiconductor industry experience.
  • Experience with tools like LangGraph, Azure ML, and Snowflake.
  • Understanding of AI security and compliance frameworks.

Competencies:
  • Self-motivated, able to multitask, prioritize, and manage time efficiently
  • Strong problem-solving skills
  • Data analysis skills. Ability to analyze complex data and turn it into actionable information
  • Collaboration and teamwork across multiple functions and stakeholders around the globe
  • Flexibility and adaptability
  • Drive for results, Able to work under pressure and meet deadlines

About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

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