Senior Data Engineer (AI)

Location: On-site in Ann Arbor, MI; Houston, TX; or San Francisco, CA

Estimated base salary: $140K–$200K annually, plus equity; final salary depends on experience, location, and other factors.

Company

hirify.global is a vertically integrated minerals company that combines proprietary chemical processes, mining and refining operations, software, automation, and data-driven decision-making to produce critical minerals.

What you will do

• Own a plant data domain end to end, including schema design, orchestration, reliability, and downstream data contracts.
• Design and evolve pipelines that ingest sensor, laboratory, 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 data architecture supporting production ML in partnership with machine learning engineers.
• Define data contracts and mentor earlier-career engineers.
• Collaborate with process engineers, ML engineers, and operations teams in a high-ambiguity environment.

Requirements

• 4–8+ 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.
• Comfort working with messy real-world sources such as drifting sensors, malformed exports, and industrial systems.
• Ability to work on-site in Ann Arbor, Houston, or San Francisco.

Nice to have

• Experience providing data to ML systems through training datasets, feature pipelines, or model monitoring.
• Experience with industrial, sensor, or historian data.

Culture & Benefits

• Full ownership of projects, data, and operational outcomes.
• Focus on simplifying and automating systems for scale.
• Open collaboration, knowledge sharing, and mentoring.
• Opportunity to develop software and data systems for autonomous mineral refining and responsible mineral sourcing.
• Equity included in the compensation package.