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Software Engineer, Data Analytics - Remote

Posted 27 weeks ago
Software Development
Full Time
USA

Overview

As a Software Engineer with a Data Analytics focus at Glydways, you will develop our data platform and facilitate data-driven decision-making throughout the organization.

In Short

  • Develop tooling and processes for autonomy software.
  • Monitor and optimize data pipeline performance.
  • Ensure data quality through testing and validation.
  • Collaborate on performance metrics.
  • Deliver insights through reports and dashboards.

Requirements

  • Degree in Computer Science, Analytics, Engineering or 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).
  • Proficiency in Python and SQL.
  • Proficiency with version control systems (e.g. Git).
  • Proficiency with configuration languages (e.g. YAML, CUE).
  • (Bonus) Experience with cloud platforms (e.g., AWS, Azure, GCP).

Benefits

  • Equal employment opportunities.
  • Prohibition of discrimination and harassment.
Glydways logo

Glydways

Glydways is a forward-thinking company dedicated to revolutionizing public transit by providing high-capacity, user-friendly, and cost-effective transportation solutions. With a strong belief that mobility is a fundamental human right, Glydways aims to create interconnected, carbon-neutral transportation networks utilizing standardized autonomous vehicles. Their innovative approach focuses on delivering a 24/7 on-demand private mobility service that alleviates the financial burden on public systems. The team at Glydways is composed of experts in sensor fusion, localization, and mapping, working collaboratively to develop sophisticated software for their autonomous vehicles, known as Glydcars, ensuring reliable performance even in challenging environments.

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