Mariana Minerals
Sr. Data Engineer
$140K–$200K
Ann Arbor, MI +2 · On-site · Senior · Full-time · Posted Jun 10, 2026
- Location
- Ann Arbor, MI
Houston, TX
San Francisco HQ - Experience
- 4-8+ years in data engineering or a closely related role.
About the job
Own an end-to-end plant data domain, building reliable pipelines, schemas, and data contracts that support operational analysis and production machine learning.
What you'll do
- Design, operate, and evolve pipelines that bring data from industrial sources into databases and the warehouse.
- Model plant time-series and analytical data, and own data quality, observability, and lineage within the assigned domain.
- Build the data architecture and training and monitoring layer for production ML in collaboration with ML engineers; mentor engineers and define shared data contracts.
What they ask for
- Strong Python and SQL, with deep experience designing database and warehouse schemas, including time-series and/or analytical data.
- Proven experience building reliable, orchestrated data pipelines and operating them in the cloud with containers and CI/CD.
- Experience with data quality, observability, and lineage, and comfort with messy real-world data sources.
Nice to have
- Experience feeding data to ML systems, including training datasets, feature pipelines, or model monitoring.
- Experience with industrial, sensor, or historian data.
Pay
$140K – $200K USD base salary
Tools
Python, SQL, CI/CD, PlantOS
AI focus
Build data pipelines and architecture for production ML, including training and monitoring; ML engineers own model-specific features and models.
Model-written summary · the original posting is authoritative