TerraAi · 22 hours ago
GIS Data Science Engineer, Data Ingestion and QA/QC
Redwood City Office
Full-time
Onsite
Mid LevelTerra AI is building an advanced AI platform for clean energy and mineral resources. The GIS Data Science Engineer will own customer data ingestion and build QA/QC workflows, blending hands-on GIS execution with data engineering.
Computer Software
Responsibilities
Prepare, curate, and serve complex client datasets across surface GIS and 3D subsurface contexts
Use GIS tools day to day to assemble layers, validate spatial alignment, and produce project outputs
Create high-quality maps and figures for internal review and client deliverables, including cartographic polish when needed
Ingest and normalize datasets such as: Drillhole and drill core data (major focus), Airborne and other geophysical survey datasets, Supporting geospatial layers and project metadata
Standardize disparate client formats into a unified framework to support modeling workflows
Build automated QA/QC checks that catch issues early, including: Coordinate reference systems and transformations, Units, conventions, missingness, duplicates, and outlier detection, Schema validation, metadata sanity, provenance tracking, Cross-dataset consistency checks (for example, collars vs surveys vs intervals)
Create reproducible ingestion pipelines that reduce manual work and shorten time-to-first-model
Act as a primary liaison for geology and ML teams, providing spatial analysis and visual validation of outputs against client-provided datasets
Document standards and build tooling that is usable by other engineers and scientists
Qualification
Required
Formal training and hands-on experience in GIS, geospatial data science, geoscience data systems, or a closely related discipline
Strong practical ability with messy data, including building pipelines, validations, and repeatable transformations
Proficiency with modern GIS software. Experience with QGIS and/or ArcGIS Pro is strongly preferred
Experience with spatial data administration: coordinate system transformations, managing large datasets, and working with spatial databases
Ability to build in Python for data workflows
Preferred
Experience producing publication-quality technical figures (Adobe Creative Suite or similar)
Familiarity with subsurface or geo-modeling tools (Leapfrog, SKUA GOCAD, Mira Geoscience Analyst, or similar)
Experience with drillhole data standards and common exploration formats
Experience with geophysical datasets and processing concepts
Experience designing QA/QC systems where wrong data has real cost
Company
TerraAi
SaaS, Banking Migrations, Wealth and Asset Management Migrations
Founded in 2022
11-50 employees
Funding
Current Stage
Early StageRecent News
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