Senior Autonomy Data Engineer

Torc Robotics

Senior Autonomy Data Engineer designing and building data infrastructure for autonomous vehicle technology. Collaborating with ML engineers to process large scale sensor data for autonomy programs.

Posted 6/9/2026full-timeRemote • Virginia • 🇺🇸 United StatesSenior💰 $160,800 - $193,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudPythonSQLTerraform

About the role

Key responsibilities & impact

Own the design and organization of the program’s data lake, including schema definitions, partitioning strategy and metadata indexing.
Design and maintain end-to-end pipelines that ingest high-bandwidth sensor logs from vehicles into cloud storage with high reliability and tolerant of ad-hoc and intermittent connectivity mechanisms.
Develop data validation and integrity checks that can detect corrupted information, missing sensors, and inconsistent calibration prior to the data being processed by downstream systems.
Implement retention, tiering and lifecycle policies for data to balance storage costs with development value.
Build tooling to query raw logs to produce curated training and evaluation datasets.
Build automation to run cost-effective pseudo-labeling workflows at the scale of data ingest.
Implement data quality and model performance metrics that are used to direct labeling effort toward the highest-value examples.
Deploy and maintain data visualization tooling to support log review, annotation QA, and autonomy debugging workflows.
Build integrations between the visualization tooling and the data lake so engineers can navigate from a dataset entry or model failure directly to the origin log data
Work with autonomy engineers to define and surface custom visualization panels and implement metrics for analyzing unstructured operating environments.
Build dashboards that provide the autonomy engineers visibility into data coverage by terrain type, operating environment and geographic region.
Establish and document data contracts between the data services and model training consumers.
Partner with perception, planning and embedded engineers across the data lifecycle: from shaping the logging schemas and collection triggers to defining the dataset interfaces that supply model training and evaluation.
Define data engineering standards, best practices, and tooling choices for an innovative and fast-paced team.
Contribute to the data roadmap and provide input to technical leadership on investment priorities.
Mentor junior engineers and raise the team’s capabilities in data infrastructure scalability and operational hygiene.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering or a related field with 6+ years of data engineering experience or a Master’s with 4+ years.
Strong proficiency in Python and SQL, with demonstrated ability to build production-quality data pipelines
Deep experience with cloud data infrastructure (AWS preferred: S3, Glue Athena, redshift, or equivalent) and infrastructure-as-code tools (Terraform, Cloud Formation).
Solid understanding of data partitioning strategies and columnar storage formats (Parquet, Orc, etc.)
Experience building and operating data pipelines that process time-series and binary data.
Proven ability to evaluate and integrate open-source tooling when appropriate versus building from scratch.
Strong instincts for delivering data quality through first-class implementations of monitoring, validation and lineage tracking.

Benefits

Comp & perks

A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLdata engineeringdata validationdata integrity checksdata partitioning strategiesdata pipelinesmonitoringvalidationlineage tracking

Soft Skills

mentoringcollaborationcommunicationleadershipproblem-solvingorganizational skillstechnical leadership