Senior Data Engineer

May Mobility

69d • $1 - $2

About The Position

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

Requirements

• 5+ years of professional experience in a Data Engineering role, specifically focused on supporting complex analytics initiatives and machine learning.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Expert proficiency in PySpark and distributed computing frameworks for processing petabyte-scale datasets.
• Deep working knowledge of cloud ecosystems (AWS, GCP, or Azure) and modern data lake/warehouse technologies.
• Demonstrated experience in migrating prototype data pipelines/scripts into fully managed, production-ready, fault-tolerant ETL systems.

Nice To Haves

• Experience in autonomous, robotics or heavily data-driven industry
• Experience working with data formats common in the AV/Robotics space (e.g., ROS bags, Protobuf, custom logging formats).

Responsibilities

• Design, build, and optimize high-throughput ETL pipelines using PySpark and cloud services to manage the flow of multimodal AV sensor logs
• Collaborate directly with ML Engineers to productionize, scale, and performance-tune the model inference pipelines, focusing on maximizing data throughput and minimizing operational costs
• Implement robust data quality checks, schema validation, and monitoring on all raw input data and on the structured, searchable metadata
• Identify bottlenecks in data movement and processing, improve the speed and efficiency of data preparation, and downstream data retrieval for dashboards and data search functionalities.
• Serve as the liaison between the Data Science teams and the Data Platform team, advocating for and implementing infrastructure improvements necessary for long-term scalability and reliability.

Benefits

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
• Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
• Rich retirement benefits, including an immediately vested employer safe harbor match.
• Generous paid parental leave as well as a phased return to work.
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees