GIS Data Science Engineer, Data Ingestion and QA/QC jobs in United States
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Terra AI · 5 hours ago

GIS Data Science Engineer, Data Ingestion and QA/QC

Terra AI is building a state-of-the-art AI platform for clean energy and mineral resource development. They are seeking a GIS Data Science Engineer to own customer data ingestion and build QA/QC workflows for geoscience data. This role involves running GIS workflows and developing automated systems to enhance data usability and efficiency.

Artificial Intelligence (AI)EnergyNatural Resources
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H1B Sponsor Likelynote

Responsibilities

Run project GIS workflows
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

GISData ingestionPythonQGISArcGIS ProSpatial data administrationQA/QC systemsGeoscience data systemsTechnical figuresSubsurface modeling toolsGeophysical datasets

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

Terra AI

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Intelligent Systems for Natural Resource Development

H1B Sponsorship

Terra AI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)

Funding

Current Stage
Early Stage
Total Funding
$3.38M
Key Investors
Founders Factory
2025-04-23Convertible Note
2023-10-01Seed· $3.38M

Leadership Team

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John Mern
Co-Founder and Chief Executive Officer
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Company data provided by crunchbase