Rivac LabsSpatial Data Engineer
Geospatial data almost never arrives clean; it comes in five formats, three coordinate systems, and at least one dataset with a projection nobody bothered to document. This service builds the ETL pipelines that take that mess and turn it into a consistent, trustworthy layer everything downstream can rely on: consistent CRS, consistent schema, consistent file format. We build pipelines rather than one-off fixes, so the next data drop from the same messy source doesn't require another manual cleanup pass. That matters because every dashboard, model, and map built on top of bad spatial data inherits its errors silently.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Diagnose source formats, coordinate reference systems, and schema inconsistencies across every input feed
- 2
Pilot a conversion and reprojection pipeline on a representative data sample to confirm accuracy
- 3
Review transformed outputs against source-of-truth geometries with the data owner before scaling up
- 4
Build and operate the production ETL pipeline with monitoring for schema drift and failed conversions
What You Get
Deliverables from this engagement
- Production ETL pipeline for format conversion and CRS reprojection
- Standardized, validated spatial dataset ready for downstream use
- Data lineage and transformation documentation
- Pipeline monitoring and error-alerting for future data drops
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Spatial Data EngineerMost engagements like this start as a $500–$2,500 pilot — see full pricing.