Motional's Data Platform team is looking to solve the problem of transforming petabytes of raw data into actionable insights for Machine Learning and Autonomy engineers, by architecting and operating core services and infrastructure.
Requirements
- 5+ years of professional experience as a data engineer or data pipeline engineer
- Strong development experience with Python and SQL
- Expertise with AWS services and solutions (EKS, Lambda, ETL)
- Experience with distributed system design and development
- Comfortable working in a fast-paced, continuous delivery environment
- Prior experience managing small teams
- Experience with Infrastructure Monitoring
Responsibilities
- Lead and provide mentorship to a team of engineers both technically and professionally
- Manage and drive team timelines, project commitments, and roadmap deliverables
- Build scalable backend services for data discovery and data lineage systems
- Write high quality, maintainable code to process petabytes of data
- Design, build, and maintain scalable data processing and access with cloud ETL technology
- Ensure that core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant
- Work closely with users, leadership, and stakeholders to align and coordinate product design, project execution, and operational usage
Other
- BS or MS in Computer Science or related field
- Ability to take a strong sense of ownership and responsibility for mentoring engineers
- Must be eligible to participate in Motional’s benefits program
- Must be able to work in a diverse and inclusive environment
- Must be able to comply with Federal Law and participate in E-Verify
