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