Job Functions1. GIS Data Engineer2. Postgres Database Engineer3. Opensource and ESRI Technologies Specialist4. Geospatial Scientific Data Analyst5. Big Data Pipeline Manager
Job Requirements1. 12+ years of overall professional experience.2. 8+ years working with opensource and COTS GIS software and databases.3. Knowledge of best practices in data management, standards, quality, and interoperability.4. Proven ability to manage, convert, and maintain large volumes of vector geodata.5. Handson experience maintaining, querying, and performing spatial analysis in PostGIS spatial databases and/or SQL Server Spatial/Oracle Spatial.6. Skilled in modeling, manipulating, processing, optimizing, and extracting value from large, complex, disconnected GIS datasets.7. Proficiency in one or more scripting languages (e.g., Python, R) with demonstrated experience in datacentric environments.
Skills1. PostGIS Spatial Databases2. SQL Server Spatial/Oracle Spatial3. Scripting Languages (e.g., Python, R)4. AWS Cloud Services5. Leadership & Collaboration Skills6. Soft Skills (Communication, Mentoring, Problemsolving, Collaboration)
Location: Fully Remote within the US, Preferably East CoastUSC Only
We are seeking an experienced GIS Data Engineer to join our team. The ideal candidate will be a seasoned Postgres database engineer with leadership capabilities, skilled in supporting open-source and ESRI technologies in both front-end and back-end environments. A strong background in working with geospatial scientific data in an analytic capacity is highly desirable.
Required Qualifications:
- Experience:
- 12+ years of overall professional experience.
- 8+ years working with open-source and COTS GIS software and databases (e.g., QGIS, ArcGIS, PostGIS, SDE) and their associated APIs or interfaces.
- Technical Expertise:
- Knowledge of best practices in data management, standards, quality, and interoperability.
- Proven ability to manage, convert, and maintain large volumes of vector geodata (e.g., shapefiles, geospatial databases, GeoJSON, GeoPackage, etc.).
- Hands-on experience maintaining, querying, and performing spatial analysis in PostGIS spatial databases and/or SQL Server Spatial/Oracle Spatial.
- Skilled in modeling, manipulating, processing, optimizing, and extracting value from large, complex, disconnected GIS datasets.
- Proficiency in one or more scripting languages (e.g., Python, R) with demonstrated experience in data-centric environments.
- Geospatial Big Data:
- Experience with geospatial Big Data pipelines, analysis techniques, and tools.
- AWS Cloud Experience:
- Familiarity with services like EC2, S3, Lambda, RDS, Glue, etc.
- Leadership & Collaboration:
- Promotes team engagement, psychological safety, and Agile practices such as paired programming, jam sessions, and knowledge sharing.
- Values innovation, experimentation, and rapid prototyping to generate insights.
- Encourages coding best practices, including CI/CD, source control, SDLC, and technical debt management.
- Partners with Product Owners to prioritize the backlog and provides rough estimates in ambiguous situations.
- Interpersonal Skills:
- Demonstrates strong communication, mentoring, problem-solving, and collaboration abilities.
- Education:
- Bachelor's or Master’s in geography, computer science, engineering, mathematics, geosciences, or a related field.
Preferred Qualifications:
- A proven track record of staying current with advancements in geospatial technologies.
- Experience with geospatial analysis and visualization tools and techniques.
- Knowledge of web mapping frameworks (e.g., Deck.gl, Leaflet, MapLibre).
- Familiarity with geospatial and other RESTful APIs.
- Experience with geospatial data processing frameworks like GeoTrellis or Rasterio.
- Awareness of machine learning or AI techniques for geospatial data analysis.
- Familiarity with serverless architectures or Kubernetes for geospatial processing.
