Mariana Minerals

1 month ago

Sr. Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior Data Engineer at Mariana Minerals will own end-to-end data domains for industrial plant data, designing pipelines, schemas, and contracts to enable trustworthy, queryable data for models and operational decisions. You’ll build pipelines from sensors, lab systems, and historians into databases/warehouse, model time-series data for ML, and collaborate with ML engineers while mentoring junior engineers.

Location: Ann Arbor, Houston, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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.
•Model time-series and analytical plant data for both human analysis and machine learning training, validation, and monitoring; 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.

Pay and Benefits

Salary: USD 140,000 - 180,000 annually

Equity and Bonus:Equity

Key Requirements

•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.
•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, and comfort with messy real-world sources—drifting sensors, malformed exports, and the quirks of industrial systems.
•A self-starter comfortable in high-ambiguity environments, working directly with process engineers, ML engineers, and operations teams.

Experience:4+ yearsIndustrialMiningData engineering

Skills:PythonSQLTime-seriesData pipelinesCI/CDContainersObservabilityData qualityMl

Tech Stack:PythonSQLCI/CDContainersTime-seriesCloudWatershedMachine learningML pipelines

Company Brief

Mariana Minerals

Software-first, vertically integrated minerals company developing extraction, processing, and automation systems to supply critical minerals (lithium and others) for energy, AI, and defense technologies, and building commercial-scale lithium facilities from produced water.

Industry: Mining & Metals

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Website LinkedIn Glassdoor

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Mariana Minerals

1 month ago

Sr. Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Ann Arbor, Houston, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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.
•Model time-series and analytical plant data for both human analysis and machine learning training, validation, and monitoring; 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.

Pay and Benefits

Salary: USD 140,000 - 180,000 annually

Equity and Bonus:Equity

Key Requirements

•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.
•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, and comfort with messy real-world sources—drifting sensors, malformed exports, and the quirks of industrial systems.
•A self-starter comfortable in high-ambiguity environments, working directly with process engineers, ML engineers, and operations teams.

Experience:4+ yearsIndustrialMiningData engineering

Skills:PythonSQLTime-seriesData pipelinesCI/CDContainersObservabilityData qualityMl

Tech Stack:PythonSQLCI/CDContainersTime-seriesCloudWatershedMachine learningML pipelines

Company Brief

Mariana Minerals

Industry: Mining & Metals

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Website LinkedIn Glassdoor