Senior Data Engineer, Vehicle Telematics at General Motors

Austin, Texas, United States

General Motors Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, TelematicsIndustries

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or a related field
  • 5+ years of experience in data engineering including Python or Scala, SQL, and relational/non-relational data storage
  • 3+ years of experience in distributed, petabyte-scale data processing using Spark as well as container orchestration technologies like Kubernetes
  • Strong with performance tuning strategies such as partitioning, clustering, caching, and various other serialization techniques
  • Strong with infrastructure as code (IaC) and CI/CD best practices
  • Proven cloud experience and familiarity with at least one cloud platform (Azure preferred)
  • Strong background in any of the following: data architecture, data governance, metadata management, data quality, observability, or MLOps
  • Knowledge in schema design and data contracts
  • Excellent teamwork and leadership skills to collaborate and influence across product, program, and engineering

Responsibilities

  • Develop a scalable data platform to support continuing increases in data volume and complexity
  • Develop and maintain data pipelines to ingest, process, and curate large volumes of data using Spark, Kafka, Event Hubs, Azure Data Lake Storage, or similar technologies
  • Support the infrastructure required for optimal ingestion, transformation, and storing of data
  • Collaborate with data scientists 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!

Skills

Spark
Kafka
Event Hubs
Azure Data Lake Storage
Data Pipelines
Data Ingestion
Data Processing
Data Storage
Data Observability
Data Governance
Data Quality
ML Support
Scalable Data Platform

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters
1908Year Founded
$486.7MTotal Funding
IPOCompany Stage
Automotive & Transportation, Financial ServicesIndustries
10,001+Employees

Benefits

Paid Vacation
Paid Sick Leave
Paid Holidays
Parental Leave
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
401(k) Company Match
401(k) Retirement Plan
Tuition Reimbursement
Student Loan Assistance
Flexible Work Hours
Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.
Chevrolet Equinox EV recall could harm GM's safety reputation.
Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.
GM leads in board diversity with 55% women directors.
GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.
Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.
Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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