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Avride

Data Analytics Engineer

Austin, TexasmidAdded today

About this role

Avride seeks a Data Analytics Engineer to transform raw data from autonomous vehicles and delivery robots into actionable insights. You'll design ETL pipelines, manage data warehouses, build dashboards, and collaborate with teams across the company to deliver reliable datasets and analytics.

What you'll do

  • Build and maintain ETL pipelines to ingest data from vehicles, APIs, and databases into the data warehouse
  • Write optimized SQL queries for complex data transformations, joins, and aggregations
  • Create and manage Grafana dashboards to visualize performance metrics and support decision-making
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions
  • Work with vehicle sensor telemetry, logistics data, and system test results
  • Experiment with LLM-based tools to discover new analytics and automation opportunities

What they're looking for

  • Python (Pandas, Polars, or similar data libraries)
  • Advanced SQL (complex joins, window functions, query optimization)
  • ETL pipeline design and implementation
  • BI tools (Grafana, Tableau, or Looker)
  • Workflow orchestration (Airflow, Dagster, or Prefect)
  • Large Language Models (LLMs) concepts and applications
  • Data warehouse architecture
  • Problem-solving and attention to data quality
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Avride

Avride develops autonomous vehicle and delivery robot technology, building the computational infrastructure, data systems, and localization platforms that enable autonomous driving development. The company is hiring backend engineers, ML infrastructure specialists, data platform engineers, robotics software engineers, and site infrastructure engineers to scale its simulation, training, logging, and operational systems.

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Likely interview questions

  • Walk us through your experience building ETL pipelines—what tools have you used and what was your biggest challenge with data quality?
  • How do you approach optimizing complex SQL queries, and can you give an example of a performance improvement you made?
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