Remote Senior Operations Data Analyst — AI-Driven Mining

KoBold Metals; United States; Remote; USD 100,000 - 125,000; Full time

Benefits offered by this job

Equity

401k matching

Job summary

KoBold Metals, a remote-first company, seeks a senior data engineer to own end-to-end data systems under the Head of Operations Data. You will manage data models, ETL processes, applications, and cross-functional relationships with minimal oversight, while mentoring junior analysts.

You will contribute to Mingomba-related data initiatives, support data quality and governance, and collaborate with geologists, engineers, and procurement teams to advance exploration projects globally.

Qualifications

• 5+ years in data engineering, analytics engineering, or data operations owning production systems independently.
• Strong SQL and data modeling (PostgreSQL).
• Proven ETL and API integration.
• Experience and comfort with AI (Claude, ChatGPT, Gemini, etc.).
• Dbt, cloud tooling (AWS/S3), finance-systems (NetSuite/Tipalti), or geospatial data a plus.

Responsibilities

• 45% Build & integration — new data models, ETL/API integrations, and app support (Foundry et al.)
• 25% Platform maintenance & data quality — OPSDB stewardship, sync reliability, alerting, production support
• 15% Governance & technical debt — RBAC, scoped roles, dbt semantic layer, documentation
• 15% Mingomba support & cross-functional mentorship — commitments register, peer mentorship and skill growth, coordination with Mingomba functional growth like Procurement, Inventory

Skills

SQL

Data modeling

ETL development

API integration

Cloud tooling AWS

Tools

dbt

PostgreSQL

AWS/S3

NetSuite/Tipalti

Job description

KoBold Metals, a remote-first company, seeks a senior data engineer to own end-to-end data systems under the Head of Operations Data. You will manage data models, ETL processes, applications, and cross-functional relationships with minimal oversight, while mentoring junior analysts.

You will contribute to Mingomba-related data initiatives, support data quality and governance, and collaborate with geologists, engineers, and procurement teams to advance exploration projects globally.