Principal Data Engineer, Data Quality & Datasets Pipelines

Highlights

• Own driving data powering AI Driver from hundreds of petabytes to exabytes.
• Deliver large storage-cost savings via early, low-compute data decisions.
• Build ingestion, filtering and offload pipelines for pre-ingestion selection.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity sharing in ownership and long-term success
• Relocation support and visa sponsorship where applicable
• Hybrid working with core hours and hands-on workshop and lab work
• Learning and development budgets for training and conferences
• Comprehensive benefits including health insurance, dental, parental leave, pension and wellbeing support

Ideal candidate

Senior software-minded data engineer who ships practical systems fast, exercises strong judgment on data value and quality, and thrives partnering with infra teams on live exascale challenges in autonomy.

Requirements

• Run data ingestion or data quality pipelines at petabyte scale
• Strong in Python and Spark with cloud data engineering experience
• Good judgement on data filtering and quality, verifying valuable data is retained
• Ships practical solutions quickly and iterates on live systems
• Software engineer at heart building systems around models
• Enjoys working closely with data infra and storage teams