Senior IR Data Engineer-Geospatial Pipelines

Climactic; Denver (CO); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity Compensation

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Short-Term Disability Insurance

Long-Term Disability Insurance

Life Insurance

Three Weeks of Paid Vacation

12 Paid Holidays

Unlimited Sick Time

Paid Parental Leave

Job summary

engineeringjobs.net, Inc. seeks a senior software engineer to build, operate, and optimize production pipelines for infrared satellite data into calibrated imagery and geospatial products in Denver. You will work with scientists and engineers to productionize research code, maintain tests, and ensure reliable releases.

The role emphasizes low latency, observability, and robust CI/CD practices, leveraging Python, AWS, and geospatial libraries such as GDAL/OGR, Rasterio, and Shapely.

Qualifications

• Requires a bachelor's degree and 8+ years, a master's degree and 6+ years, or a PhD and 3+ years of relevant software engineering experience.
• Candidates need production Python and cloud pipeline experience, workflow orchestration and containerization skills, strong testing and CI/CD practices, production observability experience, and hands-on knowledge of geospatial libraries and formats.

Responsibilities

• Build, operate, and optimize production pipelines and services that process infrared satellite data into calibrated imagery and geospatial products.
• Partner with scientists and engineering teams to productionize research code and maintain testing and release processes.
• Focus on reliability, low latency, and observability across pipelines and services.

Skills

Python

AWS

Data Pipelines

Backend Services

Geospatial Data

GDAL/OGR

Rasterio

PROJ

Shapely

Workflow Orchestration

Containerized Deployments

CI/CD

Observability

STAC Catalogs

xarray

Zarr

Education

Bachelor's degree

Master's degree

PhD

Tools

Python

Job description

engineeringjobs.net, Inc. seeks a senior software engineer to build, operate, and optimize production pipelines for infrared satellite data into calibrated imagery and geospatial products in Denver. You will work with scientists and engineers to productionize research code, maintain tests, and ensure reliable releases.

The role emphasizes low latency, observability, and robust CI/CD practices, leveraging Python, AWS, and geospatial libraries such as GDAL/OGR, Rasterio, and Shapely.