Geospatial Engineer - Cloud & DevOps

• Develop, automate, and maintain open-source geospatial data-processing and analytical workflows using Python and modern geospatial libraries and tools.
• Design workflows for large raster, vector, and multidimensional geospatial datasets using both traditional GIS and cloud-native approaches.
• Develop and maintain cloud-based geospatial processing environments using AWS and/or Azure.
• Build reproducible deployment and processing workflows using Docker, infrastructure as code, continuous integration and continuous delivery (CI/CD), and version control.
• Develop data pipelines that support ingestion, transformation, validation, analysis, cataloging, and delivery of geospatial information.
• Develop and integrate geospatial databases, APIs, services, and application components.
• Support scalable processing using containerized and parallel or distributed computing approaches.
• Implement testing, logging, monitoring, documentation, and quality-control practices for production geospatial workflows.
• Optimize cloud storage, compute, and data-access patterns for performance, reliability, and cost.
• Apply appropriate security practices, including identity and access management, least-privilege access, secrets management, encryption, and vulnerability remediation.
• Collaborate with engineers, scientists, data scientists, and software developers to translate analytical requirements into maintainable operational workflows.
• Evaluate emerging geospatial and cloud technologies and help transition successful pilots into project and production environments.
• Document architectures, workflows, code, and operational procedures and share knowledge across project teams.

Software Engineering, Cloud Computing, DevOps, Risk, DevOps, Data Management, Software Engineering, Cloud Computing, Software Development, Workflow Analysis, * Bachelor’s degree in Geography, Geographic Information Systems, Computer Science, Engineering, Data Science, Environmental Science, or a related field, or equivalent relevant experience.

• Three or more years of relevant professional experience in geospatial development, data engineering, software development, cloud computing, or a related area.
• Strong proficiency with Python for geospatial processing, automation, and data manipulation.
• Experience with common geospatial technologies such as QGIS, GDAL, GeoPandas, Rasterio, PostGIS, or similar tools.
• Experience working with geospatial raster and vector data and spatial databases.
• Working experience with AWS and/or Azure cloud services.
• Experience with Git and modern collaborative software-development practices.
• Experience developing repeatable data-processing or analytical workflows.
• Strong problem-solving skills and ability to work effectively with multidisciplinary technical teams.
• Strong technical communication and documentation skills., * Experience with Docker and containerized geospatial processing.
• Experience with Terraform, AWS Cloud Development Kit (CDK), AWS CloudFormation, or other infrastructure-as-code technologies.
• Experience developing or maintaining CI/CD pipelines.
• Experience with cloud storage, compute, and orchestration technologies such as Amazon S3, Amazon ECS or Fargate, AWS Batch, AWS Lambda, Azure Blob Storage, Azure Functions, or Kubernetes.
• Experience with cloud-native geospatial formats and technologies such as Cloud Optimized GeoTIFF, GeoParquet or Parquet, Zarr, SpatioTemporal Asset Catalogs (STAC), or similar approaches.
• Experience with PostgreSQL/PostGIS and geospatial database design and optimization.
• Experience developing or consuming REST APIs or Open Geospatial Consortium APIs.
• Experience with automated testing, logging, monitoring, and software quality practices.
• Familiarity with security concepts including identity and access management, role-based access control, encryption, secrets management, and vulnerability scanning.
• Experience with flood risk, water resources, environmental modeling, transportation, or other infrastructure-related geospatial applications.
• Experience supporting FEMA, USACE, NOAA, USGS, state agencies, or similar public-sector clients.

The projected range for this position is $116,000-$156,000 annually in our Fairfax, VA office. Depending upon other factors, i.e., skills, experience, location, market conditions, the range may vary slightly.

Dewberry is seeking a Geospatial Engineer with experience in cloud-based workflows, software development, and DevOps to join our Resilience Solutions team. This position will support the development of modern geospatial applications, data pipelines, and analytical workflows used for flood risk, water resources, and resilience projects.

The ideal candidate combines strong geospatial fundamentals with hands-on programming and cloud experience. They will work alongside geospatial professionals, engineers, scientists, and software developers to move geospatial workflows from desktop or manual processes toward automated, reproducible, cloud-based solutions.

This is a remote position with flexibility to work anywhere in the US.

Dewberry is a leading, market-facing professional services firm with more than 60 locations and 2,500 professionals nationwide. What sets us apart from our competitors are our people. At Dewberry, we seek out exceptional talent and strive to deliver the highest quality of services to our clients. Whether you’re an experienced professional or a new graduate, you’ll have the chance to collaborate with the best and brightest and work on innovative and complex projects at the forefront of the industry. Our commitment to excellence stems from our personal integrity and from other defining attributes, which we call “Dewberry at Work,” that have inspired our employees to be successful for more than a half-century.