Software Engineer - Data Engineering - Remote

Overview

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.

In Short

• 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.

Requirements

• 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).

Benefits

• Equal employment opportunities for all employees and applicants.
• Prohibition of discrimination and harassment of any type.