Sr. Data Engineer

The role

You will own a data domain end-to-end by designing pipelines, schemas, and contracts. You will build data architecture to feed production machine learning and model time-series and analytical plant data.

What you will do

• Work across domains including schema design, orchestration, reliability, and contracts.
• Design and evolve pipelines that pull from industrial sources into databases and warehouses.
• Model time-series and analytical plant data for human analysis and machine learning.
• Own data quality, observability, and lineage in your domain.
• Build the data architecture that feeds production ML.
• Mentor earlier-career engineers.
• Define the data contracts other teams build against.
• Work the boundary with machine learning to design the training and monitoring layer.

Required qualifications

• 4-8+ years in data engineering or a closely related role.
• Strong Python and SQL.
• 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.
• Comfort with messy real-world sources including drifting sensors, malformed exports, and industrial systems.
• A self-starter comfortable in high-ambiguity environments.

Nice to have

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

About the company

Mariana Minerals is a software-first, vertically integrated minerals company. They design, build, commission, and operate their own mines and refineries.