Autonomy Data Engineer II — Scalable Pipelines

Torc Robotics

United States

On-site

USD 139,000 - 167,000

Full time

14 days+

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Benefits offered by this job

Stock options
Bonus component
Medical, dental, and vision premiums
401K with employer match
Paid vacation and holidays

Job summary

Torc Robotics is seeking an Autonomy Data Engineer Level 2 to design, build, and operate data infrastructure powering our autonomy program. You will create end-to-end pipelines that transform raw vehicle logs into curated datasets for perception, planning, and simulation teams.

You’ll own data lake design, validation, and visualization tooling, ensuring high reliability across large-scale sensor data and model training workflows. This is a high-ownership role on a lean team in the US.

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering or related field with 4+ years of data engineering experience or a Master’s with 2+ years.
  • Strong proficiency in Python and SQL, with ability to build production-grade data pipelines.
  • Experience with cloud data infrastructure (AWS) and infrastructure-as-code tools (Terraform, CloudFormation).
  • Solid understanding of data partitioning strategies and columnar formats (Parquet, ORC).
  • Experience processing time-series and binary data in data pipelines.
  • Proven ability to integrate open-source tooling when appropriate.
  • Focus on data quality, monitoring, validation and lineage.

Responsibilities

  • Design, build and operate data lakes and ingestion pipelines for high-bandwidth sensor data.
  • Define schema, partitioning, and metadata indexing for scalable data storage.
  • Implement data validation and integrity checks before downstream processing.
  • Create retention, tiering and lifecycle policies to balance cost and value.
  • Build tooling to curate training and evaluation datasets from raw logs.
  • Automate pseudo-labeling workflows at data ingest scale.
  • Develop data visualization tooling for log review and QA workflows.
  • Collaborate with engineers to surface datasets and model results to the data lake.

Skills

Python
SQL
Data pipelines
AWS
Terraform
Partitioning
Time-series data
Open-source tooling
Data validation

Education

Bachelor's in CS/Engineering
Master’s in CS/Engineering (optional)

Tools

Parquet/ORC

Job description

Torc Robotics is seeking an Autonomy Data Engineer Level 2 to design, build, and operate data infrastructure powering our autonomy program. You will create end-to-end pipelines that transform raw vehicle logs into curated datasets for perception, planning, and simulation teams.

You’ll own data lake design, validation, and visualization tooling, ensuring high reliability across large-scale sensor data and model training workflows. This is a high-ownership role on a lean team in the US.

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