Software Engineer - Data Engineering

Who we are:

Glydways is reimagining what public transit can be. We believe that mobility is the gateway to opportunity—connecting people to housing, education, employment, commerce, and care. By making transportation more accessible, affordable, and sustainable, we empower communities to thrive and unlock economic and social prosperity.

Our mission is to revolutionize transit with a solution that delivers high capacity, exceptional user experiences, unmatched affordability, and minimal environmental impact.

The Glydways system is a groundbreaking network of carbon-neutral, interconnected transit pathways powered by standardized autonomous vehicles on dedicated roadways. Operating 24/7 with on-demand access, it offers personalized and efficient mobility—without the burden of heavy upfront infrastructure costs or ongoing taxpayer subsidies.

With Glydways, we’re building more than a transportation system; we’re creating a future where everyone, everywhere, has the freedom to move.

Meet the team:

The Autonomy Performance team, part of the Autonomy Software organization, is a collective of applied data scientists and data engineers responsible for building robust data pipelines to keep tabs on our robot software. We accomplish this using our in-house data platform, sponsoring cloud-native workflows, and championing data analytics tools across our partner teams . As a Software Engineer with a Data Engineering focus, your primary directive is to build out game changing features to enable our goal of hands-off end-to-end analytics.

Roles & Responsibilities:

• Design and maintain scalable, robust cloud-first data pipelines.

• Collaborate cross-functionally with both technical and non-technical customers to platform new data analytics workloads.

• Write clean, modular, and maintainable software modules to simplify and streamline analytics applications.

• Develop data models that rapidly scale and load large data sets.

• Research, evaluate, and integrate cutting-edge big data technologies to enhance our platform capabilities.

• Implement best practices for data quality, validation, and governance across all stages of the data lifecycle.

Knowledge, Skills and Abilities:

• Degree in Computer Science, Analytics, Engineering or a related field.

• Experience with big data technologies (e.g., Spark, Hadoop, Hive, dbt).

• Experience with workflow orchestration tools (e.g. Airflow, Argo Workflows).

• Experience with multi-language build systems (e.g. Bazel, CMake) and containerization technologies (e.g., Docker, Kubernetes).

• Experience with cloud platforms (e.g., AWS, Azure, GCP).

• Proficiency in Python and Shell.

• Proficiency in SQL and/or SQL-like query languages.

• Proficiency in version control systems (e.g. Git).

• Proficiency in configuration languages (e.g. YAML. CUE).

Glydways provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.