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Spatial Data Sql Python Jobs (NOW HIRING)

WaterSuite

Spatial Data Manager

Braintree, MA · On-site

Experience with PostgreSQL, PostGIS, SQL * Understanding of GIS and spatial concepts, tools ... Programming skills in python, R, JavaScript or similar Additional Information Location: Remote ...

WaterSuite

Spatial Data Manager

Braintree, MA

Experience with PostgreSQL, PostGIS, SQL * Understanding of GIS and spatial concepts, tools ... Programming skills in python, R, JavaScript or similar Additional Information Location: Remote ...

Spatial Data Logic

GIS Coordinator

Proficiency in scripting, geoprocessing, and data automation tasks (Python, SQL, or other relevant tools) - required * Strong familiarity with spatial data quality, coordinate systems, projections ...

IT America Inc

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

This system includes multiple Python scripts for data processing and automation, a SQL Server ... Assess the current Python codebase, workflows, and dependencies related to geocoding and spatial ...

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How much do spatial data sql python jobs pay per year?

As of Jun 5, 2026, the average yearly pay for spatial data sql python in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Spatial Data Sql Python vs GIS Analyst?

AspectSpatial Data Sql PythonGIS Analyst
Required SkillsSQL, Python, spatial databases, GIS conceptsGIS software, spatial analysis, data management
Work EnvironmentData analysis, programming, database managementMapping, spatial data interpretation, report creation
Industry UsageTech, government, environmental sectorsUrban planning, environmental agencies, consulting firms

Spatial Data Sql Python professionals focus on managing and analyzing spatial data using SQL and Python, often working with databases and scripting. GIS Analysts primarily interpret spatial data through GIS software, creating maps and reports. While both roles require spatial data knowledge, Spatial Data Sql Python roles emphasize programming and database skills, whereas GIS Analysts focus on spatial visualization and analysis.

What are the key skills and qualifications needed to thrive as a Spatial Data SQL Python professional, and why are they important?

To thrive in a Spatial Data SQL Python role, you need expertise in spatial databases, advanced SQL querying, Python programming, and a background in GIS or a related field. Familiarity with tools like PostGIS, QGIS, ArcGIS, and libraries such as GeoPandas and Shapely is typically expected, along with experience handling large geospatial datasets. Strong analytical thinking, problem-solving skills, and attention to detail help professionals excel in managing complex spatial analyses and collaborating with cross-functional teams. These skills ensure accurate data processing, efficient geospatial solutions, and effective communication of insights vital for decision-making.

How do Spatial Data SQL Python professionals typically collaborate with GIS analysts and data engineers?

Spatial Data SQL Python professionals often work closely with GIS analysts to translate spatial analysis requirements into efficient database queries and Python scripts. They also collaborate with data engineers to ensure that spatial data pipelines are optimized for performance and scalability. Regular communication and coordination are essential, as these roles must align on data structures, quality standards, and project timelines to deliver accurate spatial insights for decision-making. Teamwork and adaptability are key to handling evolving datasets and project scopes.

What are Spatial Data SQL Python professionals?

Spatial Data SQL Python professionals are experts who work with geographic or location-based data using SQL (Structured Query Language) and Python programming. They design, manage, and analyze spatial databases, often leveraging spatial extensions in SQL databases (like PostGIS for PostgreSQL) and Python libraries (such as GeoPandas or Shapely) to process and visualize geospatial information. These professionals are essential in fields like urban planning, environmental science, transportation, and GIS (Geographic Information Systems), where spatial data analysis and automation are required.
Spatial Data Manager

Spatial Data Manager

WaterSuite

Braintree, MA • On-site

Full-time

Posted 6 days ago

Job description

Company Description
WaterSuite is a cloud based geospatial platform housing a large and growing inventory of spatial data layers of all types and sizes from numerous sources. WaterSuite is a unique and valuable resource for the drinking water community, supporting source water protection and online monitoring efforts, and is in use by many clients, including drinking water utilities, municipalities and states.
Job Description
Spatial Data Manager performs a key role in the operations of WaterSuite by owning and maintaining the spatial data model, overseeing and executing spatial data processes as well as working with other team members to evolve the data model and processes to address emerging needs.
Responsibilities:
  • Owns the spatial data model (conceptual level down to attribute level) and ensures compliance
  • Owns the spatial data processes and ensures timely and orderly execution
  • Spatial data processes include periodic layer updates with change tracking for hundreds of layers
  • Keeps documentation on spatial data model and processes current
  • Curates newly requested spatial data layers
  • Works with team members to extend or modify the spatial data model
  • Works with team members to build new processes or improve existing ones
  • Advises application development team on spatial functionality
  • Responds to ad-hoc spatial data or analysis requests
  • Trains other team members on spatial data model and processes as needed
  • Participates in agile teams, collects/reviews user stories, extracts requirements, creates/curates tickets
  • Prepare/participate/present in company events, workshops, conferences or other venues

Qualifications
Required Skills/Experience:
  • Keen attention to detail
  • Experience working with spatial data at scale
  • Experience working with large databases
  • Experience with PostgreSQL, PostGIS, SQL
  • Understanding of GIS and spatial concepts, tools, processes
  • Understanding of basic relational database concepts
  • Able to handle multiple tasks in a fast-paced environment
  • Excellent verbal, written, and interpersonal communication skills
  • Collaborative problem solver
  • Critical thinking to evaluate alternative solutions

Preferred Skills:
  • Familiarity with drinking water concepts, hydrology, watershed science or similar
  • Degree in computer science, geography, environmental science or relevant field
  • GISP, PMP or other relevant certification
  • Programming skills in python, R, JavaScript or similar

Additional Information
Location: Remote initially then Braintree, MA (at exit 6 off Route 93)
All your information will be kept confidential according to EEO guidelines.
Keywords: PostgreSQL, Postgres, PostGIS, PG Admin, SQL, QGIS, ESRI ArcGIS, geospatial analysis and visualization, geography, cartography, hydrology, map making, emergency response, hazard/risk analysis, watershed, JIRA, Atlassian Confluence, Slack, OpenLayers, python, jupyter notebooks, Azure Data Studio, R, JavaScript, TypeScript, ETL, ogr2ogr, GDAL, Cassandra, Docker, Vue.js, REST API, Tableau, Google Sheets, Excel, Amazon AWS

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