Sr. Data Engineer
Mariana Minerals5 months ago
Base Salary
$140k - $180k/yr
Responsibilities
- Own a plant data domain end-to-end, including schema design, orchestration, reliability, data quality, observability, lineage, and data contracts.
- Design and evolve pipelines that ingest sensor, lab, historian, imagery, and other industrial data into databases and warehouses.
- Model time-series and analytical plant data for human analysis and machine learning training, validation, and monitoring.
- Build the training and monitoring data layer that feeds production ML in partnership with ML engineers.
- Define data contracts for downstream teams and mentor earlier-career engineers.
- Collaborate with process engineers, ML engineers, and operations teams in a high-ambiguity industrial environment.
Requirements
- At least 4 years of experience in data engineering or a closely related role.
- Strong Python and SQL skills with deep experience designing database and warehouse schemas, including time-series or analytical data.
- Experience building reliable, orchestrated data pipelines and operating them in the cloud with containers and CI/CD.
- Experience with data quality, observability, and lineage, including messy real-world industrial data sources.
- Ability to work independently and collaborate directly with process engineers, ML engineers, and operations teams.
- Bonus experience with ML training datasets, feature pipelines, model monitoring, industrial data, sensor data, or historian data.
Benefits
- Mission-driven opportunity to help modernize critical-minerals production and build autonomous refining operations.
- Autonomy to make significant technical and operational decisions.
- Collaborative culture centered on ownership, automation, and knowledge sharing.
About Mariana Minerals
Mariana Minerals is a privately held, vertically integrated minerals company that mines and refines critical minerals and uses in‑house software, automation, and data systems to optimize operations. It supplies materials for modern energy, AI, and defense applications, combining chemical refining with plant‑level controls and optimization tools. The company is headquartered in San Francisco and targets OEMs and manufacturers across energy, battery, and defense supply chains.