Sr. Data Engineer
$140,000–$180,000 year
On-site · San Francisco, California, United States or Houston, Texas, United States
Job Summary
Senior Data Engineer to own end-to-end data pipelines for plant data at Mariana Minerals. Design and evolve pipelines that pull from sensors, lab systems, historians, and other sources into databases and a data warehouse; model time-series and analytical plant data for human analysis and ML training, validation, and monitoring; own data quality, observability, and lineage; collaborate with ML engineers to feed the production ML platform and define data contracts. Mentors junior engineers and works at the boundary with ML to ensure the platform interface supports model training, monitoring, and feature pipelines.
Required Qualifications
- 4+ years in data engineering or closely related role
- Strong Python and SQL with experience designing database and warehouse schemas including time-series/analytical data
- Proven experience building reliable, orchestrated data pipelines and operating in the cloud with containers and CI/CD
- Experience with data quality, observability, and lineage; comfortable with messy real-world sources
- Self-starter; capable of working with process engineers, ML engineers, and operations teams
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.