Software Engineer, Geospatial

Knowmadics, Inc • Wichita, KS

3d • Remote

About The Position

The Geospatial Software Engineer designs, builds, and operates scalable geospatial systems that transform complex spatial-temporal and sensor-derived data into analytics, visualizations, and web-based applications. This role spans the full data path from curated datasets and geospatial processing pipelines through to low-latency APIs and analyst-facing, map-based tools.
Working across backend infrastructure and front-end visualization, the engineer transforms spatial-temporal data and develops robust analytics. They ensure that data pipelines, databases, and web applications are performant, reliable, and designed for real-world operational use.
In close collaboration with data scientists, geophysicists, and cross-functional engineering teams, this role translates advanced research and sensor analytics into scalable systems. As part of a fast-moving, government-funded technology business, the Geospatial Software Engineer operates with high ownership in an applied research environment focused on delivering impactful, mission-driven solutions.

Requirements

• 3+ years of hands-on geospatial software engineering experience.
• Strong Python geospatial experience, including libraries such as GeoPandas, Shapely, PyProj, and similar tooling.
• Solid understanding of spatial modelling, projections, zonal statistics, and spatial transformations.
• Experience working with spatial-temporal datasets.
• Experience building ETL/data pipelines loadingdata into operational databases such as PostgreSQL with PostGIS/TimescaleDB.
• Experience developing full-stack applications using Python-based backends, FastAPI/Pydantic preferred, and modern JavaScript front-end frameworks with React.
• Experience building geospatial visualizations using libraries such as Cesium, Mapbox/MapLibre, or Lonboard.
• Experience working in AWS or similar cloud environments.
• Experience deploying containerized applications using Docker and familiarity with Kubernetes.
• Eligible to obtain a U.S. Security Clearance – U.S. Citizenship required

Nice To Haves

• Direct experience processing geophysical, sensor, or seismographic data.
• Experience developing CI/CD pipelines for data services using Git-based workflows and infrastructure-as-code principles.
• Experience with event-driven or streaming data systems e.g. Kafka, Spark, Flink, or Sedona.
• Experience with lakehouse-style analytical tables e.g. Iceberg or Delta
• Experience with SQL query engines e.g. Trino, DuckDB, or Athena
• Strong production experience with PostgreSQL with PostGIS and TimescaleDB extensions at scale.
• Experience working with cloud-native geospatial architectures and cloud-optimized formats.
• Experience scaling geospatial workloads in Kubernetes-based environments.
• Experience applying ML/AI techniques, e.g. Bayesian methods and neural networks, to spatial-temporal datasets.
• Background in defense, cybersecurity, space, or other mission-driven sensor analytics environments.

Responsibilities

• Design and build scalable geospatial data pipelines from curated data
• Develop and operationalize spatial-temporal analytics, including movement characterization, clustering, and advanced spatial transformations.
• Translate complex geospatial workflows into reliable, low-latency APIs that power web-based analytical tools.
• Build and maintain interactive, map-based applications for analysts exploring sensor-derived, spatial-temporal data.
• Deploy and operate services in a cloud-native environment using containerized infrastructure.
• Collaborate with data scientists and domain experts to operationalize advanced analytics into robust systems.
• Take ownership of features from backend ingestion through to front-end visualization in an applied research environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed