Data Platform Engineer

Grassroots Carbon is hiring a Data Platform Engineer to build and operate the core data infrastructure powering our soil carbon modeling work and PastureMap grazing management platform. In this role, you will integrate and serve soil measurements, satellite imagery, ranch records, and partner data through a unified database to ensure reliable, high-integrity access across the company.

As the first dedicated owner of our data platform, you will drive data ingestion, dataset accessibility, and production pipeline architecture. Your immediate mission is to replace manual and ad-hoc data preparation with dependable, automated workflows that support science, operations, and rancher-facing products.

You will work closely across our engineering and science teams. While Data & Soil Science handles model development and scientific validation, you will own the production pipelines and execution runtimes that put approved models into live use. You will also partner with backend engineers on application APIs and integrations, aligning key priorities with the VP of Product & Technology.

**About You
**
We are looking for a pragmatic, hands-on builder who designs sound systems and gets things done. You take pride in making sensible architecture decisions, weighing trade-offs clearly, and methodically tackling production challenges when they arise. Working alongside scientists, product managers, and our engineering team, you will rely on clear documentation and strong cross-time-zone collaboration to keep projects moving forward. If you love shipping resilient infrastructure and want to apply your skills to agriculture and environmental technology, this is the role for you.

Requirements

Data storage and pipelines

• Design and build our unified data platform from our AWS stack of S3 and PSQL with PostGIS DB, selecting the right storage and processing tools to balance workload, reliability, and cost.
• Develop tested, scheduled datasets with clear lineage. Maintain consistent, versioned ranch and pasture identifiers across all internal systems.
• Migrate priority PastureMap history, reconcile it to source records, and document gaps. Preserve original locations and flag records that cannot be mapped reliably.

Data ingestion and integrations

• Build and maintain reliable, automated ingestion pipelines for APIs, hardware feeds (IoT), and imagery services, replacing ad-hoc manual data extraction.
• Normalize spatial and temporal incoming data from external partners and hardware, establishing clear validation and error-recovery protocols.

Model operations & Security

• Build secure data services with backend engineers so PastureMap, internal tools, and approved partners can use shared datasets and model outputs.