Data Integration Engineer

Why Join Us?

Employers often ask why you'd be a good fit to work for them. We prefer to start by showing why we'd be a great fit for you. BigGeo is redefining geospatial intelligence with an AI‑ready Discrete Global Grid System (DGGS) that transforms how spatial data is captured, indexed, and monetized. Our platform powers mission‑critical decisions across sectors where location intelligence drives outcomes, from large‑scale infrastructure projects and environmental planning to logistics and emergency response. We are industry agnostic, unlocking possibilities for organizations that have yet to realize the value a system like ours can deliver.

Joining BigGeo now means helping to architect and accelerate the next phase of growth. Our team is multidisciplinary, entrepreneurial, and built for impact. We work quickly, push boundaries, and expect every team member to be both a thinker and a doer.

At BigGeo, you will :

• Shape an industry : Build solutions that change how organizations leverage real‑time geospatial data.
• See your work in action : Watch your contributions deliver measurable results in high‑impact, real‑world scenarios.
• Grow with a category leader : Be part of a venture‑backed company supported by Vivid Theory, a venture studio dedicated to building transformative technologies.
• Thrive in a high‑accountability culture : Work in an environment where autonomy and ownership are the standard, and results matter most.

If you want to be part of a team that is rewriting what is possible in geospatial intelligence, and you have the drive to build, scale, and innovate, BigGeo is where you can do the most meaningful work of your career.

Overview

We are seeking a Data Integration Engineer who will own the process of ingesting, transforming, and operationalizing large scale third‑party datasets. This role ensures that every new dataset moves from raw source to a sale‑ready format quickly, consistently, while building scalable data ingestion processes.

Responsibilities

Qualifications

What Success Looks Like (First 12 Months)

=90% of partner datasets pass validation and QA checks on first ingestion attempt.

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