Staff Geospatial EngineerGreen Key Resources • New York, New York, United States
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Staff Geospatial Engineer
Green Key Resources
- New York, New York, United States
- New York, New York, United States
À propos
Staff-level Geospatial Engineer
to own and evolve our geospatial data platform—from raw imagery ingest to near real-time delivery of high-quality datasets used in production ML systems. This role sits at the intersection of geospatial systems, data engineering, and ML infrastructure, with a strong emphasis on treating
datasets as first-class products .
You’ll lead the design of scalable pipelines, define best practices for dataset lifecycle management, and partner closely with ML, infra, and product teams to ensure data reliability, lineage, and observability at scale.
What You’ll Do
Design and operate large-scale
imagery ingest, normalization, and cataloging pipelines
across diverse sources.
Build and optimize
tiling/chipping pipelines
to support fast spatial queries and
near real-time data delivery .
Own
dataset and label versioning systems , including QA workflows that ensure data correctness, reproducibility, and auditability.
Integrate
dataset and version lineage
with artifact stores and registries (experience with
W&B Artifacts
is a strong plus).
Treat
datasets as products :
Define and maintain APIs for dataset access
Establish SLAs around freshness, availability, and quality
Handle backfills and reprocessing gracefully
Implement observability, metrics, and alerting for data pipelines
Drive architectural decisions and technical direction for geospatial data systems.
Mentor engineers and raise the bar for data engineering and geospatial best practices across the org.
What We’re Looking For
5+ years of professional experience
building data or geospatial systems in production environments.
Deep experience with
geospatial imagery pipelines
(satellite, aerial, or similar large raster datasets).
Strong understanding of
tiling schemes, spatial indexing, and high-performance retrieval .
Hands‑on experience with
dataset and label versioning , including QA and validation workflows.
Familiarity with
artifact stores / registries
and dataset lineage tracking (W&B Artifacts preferred).
A pragmatic, product-oriented mindset toward data: reliability, usability, and operability matter as much as correctness.
Comfort operating at Staff level: ambiguous problems, cross-team influence, and long-term technical ownership.
Nice to Have
Experience supporting ML training and evaluation pipelines at scale.
Background in remote sensing, mapping, or geospatial analytics.
Experience designing data SLAs and operational playbooks.
Prior ownership of data platforms used by multiple teams or customers.
Why This Role
High ownership over core geospatial and ML data infrastructure.
Direct impact on production systems and downstream models.
Fully remote with a team that values autonomy, clarity, and strong engineering fundamentals.
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Compétences linguistiques
- English
Avis aux utilisateurs
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