Senior Data Platform Engineer — Remote & Scalable Pipelines

Motional; Boston (MA); Hybrid; USD 149,000 - 199,000; Full time

Job summary

Motional is looking for a Data Engineer to help connect our vast data with ML and Autonomy teams in Boston. You will design and build scalable data infrastructure, backend services for data discovery and data lineage, and process petabytes of data with Python and SQL.

Join a fast-paced environment where you will contribute to core data platforms, collaborate with cross-functional teams, and help scale data pipelines across our hybrid work model with on-site Boston time and optional remote work.

Qualifications

• 3+ years of professional experience as a data engineer or data pipeline engineer.
• BS or MS in Computer Science or related field.
• 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.

Responsibilities

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data.
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

Skills

Python

SQL

AWS

EKS

Lambda

ETL

Distributed systems

Education

BS or MS in Computer Science or related field

Job description

Motional is looking for a Data Engineer to help connect our vast data with ML and Autonomy teams in Boston. You will design and build scalable data infrastructure, backend services for data discovery and data lineage, and process petabytes of data with Python and SQL.

Join a fast-paced environment where you will contribute to core data platforms, collaborate with cross-functional teams, and help scale data pipelines across our hybrid work model with on-site Boston time and optional remote work.