Senior Data Engineer: Scale Data for Driverless Freight

Gatik; Santa Clara (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Gatik in Santa Clara, California, is seeking a Senior Data Engineer to own the data platform that turns raw fleet and simulation logs into training-ready datasets. You will work closely with perception, prediction, planning, simulation, and safety teams to make data fast to find, trustworthy, and cheap to process at scale.

This role sits at the center of Gatik's data flywheel: logs drive scenario mining, model training, and closed-loop testing to provide the safety evidence needed for driverless

Qualifications

• Bachelor's or Master’s degree in CS, Data Engineering, or related field or equivalent experience.
• 8+ years building data-intensive software systems, preferably in autonomous driving or large-scale ML.
• Strong Python and SQL; familiarity with C++ and cloud architectures.

Responsibilities

• Design, build, and operate production-grade data pipelines ingesting multi-sensor logs and simulation data.
• Develop tools for data labeling, curation, indexing, and cataloging to speed discovery of drives and scenarios.
• Collaborate with ML researchers and engineers to support model training, evaluation, and debugging.
• Maintain feature stores, metadata systems, and dataset versioning for structured and unstructured data.

Skills

Python

SQL

C++

ETL/ELT pipelines

Cloud platforms

Data quality

Data lineage

Education

Bachelor's or Master's in CS/Data Engineering or equivalent

Tools

Apache Spark

Airflow

Kubeflow

Delta Lake / Iceberg

Protobuf / ROS/ROS 2 / MCAP

Job description

Gatik in Santa Clara, California, is seeking a Senior Data Engineer to own the data platform that turns raw fleet and simulation logs into training-ready datasets. You will work closely with perception, prediction, planning, simulation, and safety teams to make data fast to find, trustworthy, and cheap to process at scale.

This role sits at the center of Gatik's data flywheel: logs drive scenario mining, model training, and closed-loop testing to provide the safety evidence needed for driverless