Senior Data Platform Engineer

• Principal MLOps / Data Platform Engineer
• $175,000 – $200,000 + Bonus + Equity (Stock Options)
• Comprehensive Benefits + Generous PTO
• On-site California | United States

This is a rare opportunity to own the end-to-end data and ML platform powering advanced AI systems deployed in production.

• The Opportunity
• You’ll take ownership of the entire data pipeline lifecycle, from real-world device data ingestion through to model training and validation.
• This is a high-impact, hands-on role working with:
• Large-scale multimodal data (imaging, video, sensor data)
• Production AI systems operating in real environments
• A collaborative team of engineers, researchers, and domain experts

• What You’ll Be Doing
• Architect and build scalable data pipelines (device → cloud → ML systems)
• Design and manage cloud-based data platforms (AWS)
• Develop robust ETL workflows for large-scale datasets
• Ensure data quality, validation, and observability across systems
• Implement data lineage, traceability, and reproducibility
• Collaborate closely with ML teams to support training and deployment workflows
• Contribute to CI/CD pipelines for data and ML systems

• What We’re Looking For
• Strong experience building production-grade data pipelines at scale
• Proficiency in Python and SQL
• Hands-on experience with AWS (S3, EC2, Lambda, etc.)
• Experience with orchestration tools (Airflow, Prefect, Dagster)
• Background in data lakes or lakehouse architectures
• Experience working with large-scale unstructured data (video, images, sensors)
• Strong understanding of data quality, validation, and observability