Description
This role is categorized as hybrid. This means the successful candidate is expected to report to offices in Austin, TX, Mountain View, CA 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
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.
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What You'll Do
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. Specifically, you will contribute towards:
- Building Data Pipelines: The team constructs and manages data pipelines that perform aggregations, enrichments, and feature engineering on raw data, making it easier for analysts and data scientists to work with.
- Topline Metrics: Own the data pipelines that calculate the company's topline KPIs, collaborating closely with AV PMs and Operations teams.
- Data Governance: Ensuring data governance and stewardship, including data quality monitoring and building a data catalog for AV Datasets.
- Support for Data Science Teams: Assisting 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. Work together with partner teams and orgs to achieve cross-organizational goals and satisfy broad requirements
- Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities. Effectively onboard and mentor junior engineers and/or interns
Additional Description
Your Skills & Abilities (Required Qualifications)
- 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
This job may be eligible for relocation benefits.
Compensation:
- The expected base compensation for this role is: $134,000 - $241,900. 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.
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About GM
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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.
Total Rewards | Benefits Overview
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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 [email protected] 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.