Marianaminerals

Sr. Data Engineer

Ann Arbor, MI · Senior

Sponsorship not specifiedDetected 41 days ago

PythonSQLMachine LearningData EngineeringMLOpsSupply Chain

About the role

We're not a software company selling tools to mining operators.
Today, we're producing battery-grade lithium salts from real oil and gas wastewater in our facilities.
Our first commercial-scale lithium production facility, Lithium One, is targeting initial production in Q1 of 2027.

Work across domains-for example, all plant sensor and historian data, or all lab and analytical results-including schema design, orchestration, reliability, and the contract it exposes to everyone downstream.
Design and evolve our fleet of pipelines that pull from messy industrial sources-sensors, lab systems, historians, imagery, and more-into our databases and warehouse.
own data quality, observability, and lineage in your domain.
Build the data architecture that feeds production ML-the training and monitoring layer-in partnership with the ML engineers who own the model-specific semantics.
Mentor earlier-career engineers and define the data contracts other teams build against.
ML engineers own the features and models built on top of it. The training and monitoring layer is shared ground you design together.

4+ years in data engineering or a closely related role.
Strong Python and SQL, with deep experience designing database and warehouse schemas, including time-series and/or analytical data.
Experience with data quality, observability, and lineage, and comfort with messy real-world sources-drifting sensors, malformed exports, and the quirks of industrial systems.
Proven experience building reliable, orchestrated data pipelines and operating them in the cloud with containers and CI/CD.
A self-starter comfortable in high-ambiguity environments, working directly with process engineers, ML engineers, and operations teams.

experience feeding data to ML systems-training datasets, feature pipelines, model monitoring-or working with industrial, sensor, or historian data.

Model time-series and analytical plant data for both human analysis and machine learning training, validation, and monitoring
Work the boundary with machine learning deliberately: you own the platform and the interface it exposes

This listing is sourced directly from Marianaminerals's careers page and normalized into a canonical job model.