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Data Engineer Relocation Jobs in Nebraska (NOW HIRING)

AI, Architecture, Automotive, Data Engineer, Data Science, Machine Learning, Python We are seeking ... Explore relocation and rotation options for diverse cultural and professional experiences in ...

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Data Engineer Relocation information

What is a data engineer relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

What are popular job titles related to Data Engineer Relocation jobs in Nebraska?

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

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

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

Data Scientist / Data Engineer - ADAS IRC302645

GlobalLogic

Gothenburg, NE • On-site

$84 - $115/hr

Other

Posted 8 days ago


GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

165th of 247 rated software companies


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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