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Automotive Data Engineer Jobs in Nebraska (NOW HIRING)

$18 - $50/hr

... automotive industries. The intern will help create and manage engineering datasets, investigate AI ... The role combines engineering, software, data management, and AI technologies to develop innovative ...

$18 - $50/hr

... automotive industries. The intern will help create and manage engineering datasets, investigate AI ... The role combines engineering, software, data management, and AI technologies to develop innovative ...

$18 - $50/hr

... automotive industries. The intern will help create and manage engineering datasets, investigate AI ... The role combines engineering, software, data management, and AI technologies to develop innovative ...

$18 - $50/hr

... automotive industries. The intern will help create and manage engineering datasets, investigate AI ... The role combines engineering, software, data management, and AI technologies to develop innovative ...

$18 - $50/hr

... automotive industries. The intern will help create and manage engineering datasets, investigate AI ... The role combines engineering, software, data management, and AI technologies to develop innovative ...

We are now looking for more talented and driven Test Engineer's who wants to grow with us and help ... Handling measurement technology and data acquisition. * Analysing and interpreting complex ...

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Automotive Data Engineer information

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 Nebraska?

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

What job categories do people searching Automotive Data Engineer jobs in Nebraska look for?

The top searched job categories for Automotive Data Engineer jobs in Nebraska are:

What cities in Nebraska are hiring for Automotive Data Engineer jobs?

Cities in Nebraska with the most Automotive Data Engineer job openings:

Infographic showing various Automotive Data Engineer job openings in Nebraska as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution.

Data Scientist / Data Engineer - ADAS IRC302645

Gothenburg, NE • On-site

GlobalLogic
Software Development • 10K+ employees

Other

Posted 14 days ago


GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Function

Data Analytics & Business Intelligence (BI)

Experience

5-10 years

Location

Sweden - Gothenburg

Skills

ADAS, Automotive, Data Engineer, Data Science, Python

We are looking for a Data Scientist / Data Engineer to support the client’s ADAS organization. This role sits at the intersection of data engineering and applied data science, working with large-scale sensor and vehicle data used to develop, validate, and improve ADAS functions (e.g., collision avoidance, lane keeping, adaptive cruise control, sensor fusion). The ideal candidate combines strong technical data skills with the interpersonal drive needed to work across multiple engineering teams and extract the right requirements and context.

Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Electrical Engineering, or a related field.
  • 3+ years of experience in data engineering or data science roles, ideally within automotive or another safety-relevant industry.
  • Demonstrated experience working with ADAS-related data (sensor data, perception outputs, vehicle logs) or strong interest and transferable experience from adjacent domains (robotics, autonomous systems).
  • Strong proficiency in Python and standard data engineering toolchains; hands-on experience with Git/GitHub for version control and collaborative development.
  • Experience with large-scale data processing frameworks (e.g., Spark, Pandas, SQL-based data warehouses).
  • Familiarity with data pipeline orchestration tools (e.g., Airflow) is a plus.
  • Understanding of automotive data standards (CAN, DBC files, AUTOSAR data concepts) is a strong plus.
Personal Attributes (Critical for This Role)
  • High drive and initiative - comfortable proactively reaching out across departments (ADAS function teams, test/validation, software, systems engineering) to gather context and clarify ambiguous requirements.
  • Strong communication skills; able to translate between technical data language and functional/engineering language.
  • Curious, self-directed problem-solver who takes ownership of data quality and pipeline reliability end-to-end.
  • Comfortable operating in a fast-paced, cross-functional environment with evolving priorities.
Job responsibilities
  • Design, build, and maintain data pipelines for ingesting, processing, and structuring large volumes of ADAS sensor and test data (camera, radar, lidar, CAN bus logs).
  • Apply data science methods to analyze vehicle and sensor datasets, supporting feature development, algorithm validation, and performance benchmarking of ADAS functions.
  • Collaborate with ADAS function owners, test engineers, and software teams to translate development and validation needs into data requirements.
  • Develop and maintain reusable Python-based tools and scripts for data extraction, transformation, and analysis, version-controlled via GitHub.
  • Support root-cause analysis of ADAS performance issues using data-driven investigation.
  • Contribute to data quality frameworks, labeling standards, and metadata management specific to ADAS datasets.
  • Present findings and data insights clearly to both technical and non-technical stakeholders.
What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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