Senior Data Engineer for Autonomous Vehicles

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to offices in Austin, TX, Mountain View, CA, Warren, MI, or the Greater Seattle Area three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

We are seeking a highly skilled and experienced Senior Data Engineer to join our Autonomous Vehicles Data team. In this role, you will play a critical part in designing, developing, and maintaining the robust data platforms essential for the development and deployment of self-driving car technology.  In this role you will own technical projects from start to finish, contribute to the team’s product roadmap, and be responsible for major technical decisions and tradeoffs.

What You’ll Do

• Build, manage and own data pipelines to collect, cleanse and transform data from various sources into foundational datasets. Own visualizations that calculate the company’s topline KPIs, collaborating closely with AV PMs.
• Ensure data reliability (quality, security) & regulation compliance (privacy, governance).
• Build strong partnerships with stakeholders (Data Science & ML teams) and collaborate to deliver cross functional projects.
• Use cloud technologies to own, design, implement, and test scalable data systems in the cloud. Champion engineering excellence by continuously improving systems and processes .
• Champion engineering & operational excellence by continuously improving.
• Systems, processes, documentation and best practices for knowledge sharing across the engineering community.
• Actively participate in team’s planning, code reviews and design discussions .
• Conduct technical interviews and onboard and mentor junior engineers
  
  

  Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.

  
  

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree (or higher) in Computer Science, Data Science, Information Systems / related field or relevant experience.
• 5+ years working with big data systems – Data lake / Data. Warehouse / Lakehouse using cloud technologies (Azure, GCP, AWS)
• 5+ years working with ETL / ELT, data modeling, Python (or similar), SQL.
• Expert in building and optimizing data pipelines and infrastructure
• Hands on experience in orchestrating automated workflows or batch jobs.
• Hands-on experience and expertise with visualization tools (Hex, power BI, or similar).
  
  
  

What Can Give You a Competitive Advantage (Preferred Qualifications)

Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

• Hands-on experience in implementing data governance/privacy regulations within data systems.
• Experience in self-driving technology domain.
• Experience with big data frameworks and tools like Apache Hadoop, Apache Spark, or Apache Kafka for processing and analyzing large datasets.
• Hands on experience with data serialization formats like JSON, Parquet, YML and XML.
• Experience working with petabyte scale data system.
  
  
  

This job may be eligible for relocation benefits.

Compensation:

• The expected base compensation for this role is: $125,000 - $198,400. Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
  
  
  

Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.