Senior Data Engineer, Integrations
Mariana Minerals
Data Science
Ann Arbor, MI, USA
USD 150k-210k / year + Equity
Posted on Oct 27, 2025
Location
San Francisco HQ
Employment Type
Full time
Location Type
On-site
Department
Software Development
Compensation
- Estimated Base Salary, final salary based on experience, location, and other factors $150K – $210K • Offers Equity
About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies.
We’re reimagining how minerals are sourced, refined, and optimized by combining deep industrial expertise with software, automation, and data-driven decision-making. Join us as we build the future of responsible mineral sourcing and supply.
The Opportunity
We’re looking for a Senior Data & Integrations Engineer to own the data platform that connects our industrial systems to ML models—building the semantic layer between process engineering and AI-driven operations.
This role goes beyond traditional ETL. You’ll design and build robust Python-based data pipelines and semantic models that translate real-world industrial processes into structured, meaningful data for our machine learning and software teams. Your work will directly enable reinforcement learning algorithms that control physical equipment—where data engineering meets real-world impact.
What You’ll Do
Core Responsibilities (≈70%)
Design, build, and maintain data pipelines in Python that integrate with our digital twin simulator, ML infrastructure, and operational systems.
Develop semantic data models and analytics layers that bridge process engineering, ML model requirements, and business metrics.
Architect data systems that support both real-time operations and historical analysis, prioritizing semantic accuracy and data quality over massive scale.
Evolve our data platform as we scale from our first facility to multiple operations—defining the foundations of a modern, industrial data stack.
Partner with ML engineers and process experts to ensure data is clean, consistent, and fit for model training and inference.
Integrations & Cross-Functional Work (≈30%)
Build and maintain API integrations with enterprise and industrial systems (PLCs, LIMS, historians, engineering tools).
Support real-time data exchange between control systems, dashboards, and analytics platforms.
Collaborate across software, process, and ML teams to translate complex operational data into actionable insights.
What You’ll Bring
Required
5+ years of Python development experience, focused on data engineering and modeling.
Proven experience creating semantic layers and analytics models bridging technical and business contexts.
Strong software engineering fundamentals—version control, testing, documentation, and maintainable code.
Hands-on experience with modern data tools (Airflow/Dagster, dbt, data quality frameworks).
Clear communication and collaboration skills; ability to work with ML, software, and operations teams.
A structured yet creative problem-solving mindset and comfort with ambiguity.
Nice to Have
API integration experience (REST, OAuth, rate limiting, retries).
Familiarity with time-series or industrial data (PLCs, LIMS, SCADA).
Exposure to ML pipelines and real-time data processing.
Experience designing data systems in manufacturing, energy, or process industries.
Why This Role Matters
This isn’t a big-data problem—it’s a smart-data challenge. You’ll create the connective tissue between industrial operations and AI systems, turning complex process signals into meaningful data that drives real outcomes.
Your work will directly shape how AI optimizes mineral processing and define the foundation of Mariana’s data strategy as we grow.
Why Join Mariana Minerals
Build systems that bridge the physical and digital worlds.
Work alongside engineers, data scientists, and industrial experts solving hard problems that matter.
Join a culture that values Extreme Ownership, Engineering Out Requirements, then Automating, and Sharing Your Legos.
Be part of building the future of intelligent mineral processing.
Compensation Range: $150K - $210K