Staff Data Engineer, Vehicle Telematics

Description
Hybrid: This means the successful candidate is expected to report to their primary location (Roswell GA) three times per week, at minimum.
The Role:
General Motors uses telematics data as a cornerstone of its software-defined vehicle strategy, enhancing safety, security, and product development for an exceptional customer experience. Analytical insights from this data lead to improvements in operational efficiency, maintenance, and vehicle performance as well as address the need for intelligent (ADAS), sustainable transportation (EV). Our data storage team owns the platform that streams and stores this data from millions of vehicles around the globe.
We seek a polyglot engineer with a strong background in data and software, experienced in designing and maintaining large-scale systems. This technical leadership role requires a passion for quality, efficiency, and reliability. As a staff engineer, you'll lead and build the platform to enable thousands of use cases that require telematics data. You will play a key role in our team's success, supporting hundreds of internal consumers and enhancing the experience for millions of retail and fleet customers. This is a high-visibility role!
What You'll do:

• Develop a scalable data platform to support continuing increases in data volume and complexity
• Develop and maintain data pipelines to ingest, process, curate, and store large volumes of data using Spark, Kafka, Event Hub, Azure Data Lake Storage, or similar technologies
• Support the infrastructure required for optimal ingestion, transformation, and storing of data
• Collaborate with data scientists and analysts to support the needs of advanced ML development
• Design and implement rigorous data observability, validation, governance, and quality checks
• Mentor and support junior engineers by providing guidance, coaching and educational opportunities
• Simplify, simplify, simplify... and document your work!

Additional Description
Your Skills & Abilities (Required Qualifications)

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 10+ years of experience in data engineering including Python or Scala, SQL, and relational/non-relational data storage
• 5+ years of experience in distributed, petabyte-scale data processing using Spark as well as container orchestration technologies like Kubernetes
• Expert at performance tuning strategies such as partitioning, clustering, caching, and various other serialization techniques
• Expert at infrastructure as code (IaC) and CI/CD best practices
• Strong background in data architecture and modeling techniques to optimize for data consumption patterns
• Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred, AWS, GCP)
• Excellent teamwork and leadership skills to collaborate and influence across product, program, and engineering

What Will Give You A Competitive Edge (Preferred Skills)

• Strong background in data governance, metadata management, and/or data quality/observability
• Knowledge in schema design and data contracts
• Experience in processing and storing various file formats, including video, audio, and image
• Experience with tools such as Databricks or Snowflake - this is where the vast majority of our downstream consumers live

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $ $165,000 - 253,200.00. The actual base salary a successful candidate will be offered within this 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.
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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
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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 (U.S. and Canada)
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 Careers.Accommodations@GM.com or call us at 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.