General Motors-posted 4 months ago
$134,000 - $241,900/Yr
Full-time • Senior
Hybrid • Mountain View, CA
5,001-10,000 employees
Transportation Equipment Manufacturing

As an engineer in the Autonomous Vehicle Data Platforms (AVDP) Data Engineering team, you will architect & automate end-2-end data processing and data management lifecycle on Cloud Platforms (GCP/Azure). You will collaborate with cross functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Operations etc.,) to capture requirements and build a robust data platform. You will perform data analysis, build data pipelines and build canonical datasets and domain data models to empower users to make data driven business decisions.

  • Own technical projects from start to finish, contribute to the team's product roadmap, and be responsible for major technical decisions and tradeoffs.
  • Effectively participate in team planning, code reviews and design discussions.
  • Build Data Pipelines that perform aggregations, enrichments, and feature engineering on raw data.
  • Own the data pipelines that calculate the company's topline KPIs, collaborating closely with AV PMs and Operations teams.
  • Ensure data governance and stewardship, including data quality monitoring and building a data catalog for AV Datasets.
  • Assist data science teams with delivering their projects by building feature sets and optimizing production code.
  • Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud.
  • Champion engineering excellence by continuously improving systems and processes.
  • Consider the effects of projects across multiple teams and proactively manage conflicts.
  • Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities.
  • Effectively onboard and mentor junior engineers and/or interns.
  • Experience building PB scale data management systems (datalake, data warehouse) from the ground up.
  • Experience building and optimizing data pipelines and associated infrastructure for cost efficiency, scale and performance.
  • 10+ years working with big data, python, ETL/ELT, data modeling, SQL, data warehousing, data lake, data lakehouse.
  • Strong proficiency in writing SQL for analytic purposes.
  • BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
  • Passionate about self-driving technology and its potential impact on the world.
  • Attention to detail and a passion for seeking truth.
  • A track record of efficiently solving complex problems.
  • Startup mentality - openness to dealing with unknown and wearing many hats.
  • Medical, dental, vision insurance.
  • 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.
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