Sr. Data Engineer

About Mariana Minerals

Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy, AI, and defense technologies. We combine deep industry expertise with advanced software, automation, and data-driven decision-making to reimagine the minerals supply chain.

The Role

Mariana Minerals is building the critical minerals supply chain from the ground up. We are seeking a Senior Data Engineer to support this initiative. Unlike traditional software companies, we are a mining company that develops proprietary chemical processes and runs them at various scales. Our first commercial-scale lithium production facility, Lithium One, is scheduled to start production in Q1 2027.

What You’ll Do

• Work across domains, such as plant sensor and historian data, or lab and analytical results, including schema design, orchestration, reliability, and the contract it exposes to downstream teams.
• Design and evolve our fleet of pipelines that gather data from various sources like sensors, lab systems, historians, imagery, and more, and integrate it into our databases and warehouses.
• Model time-series and analytical plant data for both human analysis and machine learning, ensuring data quality, observability, and lineage within your domain.
• Build the data architecture that feeds production ML systems, collaborating with ML engineers to define the model-specific semantics and interfaces.
• Mentor earlier-career engineers and define the data contracts other teams build against.
• Work closely with machine learning engineers to ensure the training and monitoring layers are designed collaboratively, addressing the boundary between data and machine learning.

Desired Qualifications

• 4+ years of experience in data engineering or a closely related field.
• Strong proficiency in Python and SQL, with extensive experience in designing database and warehouse schemas, especially for time-series and analytical data.
• Proven experience in building reliable, orchestrated data pipelines and operating them in the cloud using containers and CI/CD.
• Experience with data quality, observability, and lineage, and familiarity with handling messy real-world data sources like drifting sensors and malformed exports.
• A self-starter capable of working in high-ambiguity environments, interacting directly with process engineers, ML engineers, and operations teams.
• Bonus: experience in feeding data to ML systems, training datasets, feature pipelines, or working with industrial, sensor, or historian data.

Why This Role

We own the projects, generate the data, and close the loop. Every facility we build makes the software smarter, and the next facility faster and cheaper. Mining is one of the last major industrial sectors that hasn't been rebuilt with modern software. Your work will directly shape how critical minerals are produced at scale in the coming decades.

Culture

Our culture is built on three principles: Extreme Ownership, Engineer Out Requirements, then Automate, and Share Your Legos. Join us as we build the future of responsible mineral sourcing and supply.

Compensation Range

$140K - $180K