Geospatial Data Engineering Manager

Job Duties: UrbanFootprint, Inc. in Berkeley, CA is seeking a Geospatial Data Engineering Manager to oversee and supervise team’s day-to-day responsibilities for design and development of clients’ geospatial data platforms. Individuals will apply advanced knowledge, principles, and concepts to perform the following duties: 

• Mentor and guide geospatial data engineers, domain science engineers or data engineers in the development of Geographic Information Systems (GIS) technology, tools, systems, or
  packages to build environment, population characteristics and natural environment.
• Coordinate and manage the technical design, development, application, and deployment of geospatial, graph-based, statistical, or machine learning models, including implementation of
  data processing pipelines, model or algorithm development, and production model or algorithm implementation and deployment.
• Perform computer programming, or software development to support platform and applications, including the maintenance of existing systems or research and development for future
  enhancements to data processing, models, or algorithms and software.
• Oversee design systems and processes for manual and automated delivery and validation of customer-facing deliverables of spatial data and spatial data analysis.

This position supervises the work of five (5) Geospatial Data Engineers, domain science engineers or data engineers including hiring, firing, discipline, compensation, and performance reviews.

Minimum Requirements:  Master's Degree in Regional Planning, Urban Planning, Transportation Planning, Geography or in any related field of study, plus at least three (3) years of experience as a Geospatial Data Engineer or in any related position(s) involving geospatial platform development, Geographic Information Systems (GIS) technology, or spatial analysis.

Qualified applicants must also have demonstrable proficiency, skill, experience, or knowledge with the following:

• GIS tools, systems, or libraries: GDAL, GEOS, using tools for data transformations or cleaning and spatial data analysis.
• SQL dialect
• Spatial Data Analysis in SQL
• BigQuery GIS or Postgres/PostGIS.
• Applying key concepts related to build environment and urban planning: zoning, land use and transportation infrastructure.
  
  • Geospatial data processing and two of the following:
  • Spatial data correction and quality control
  • Spatial aggregating or disaggregation
  • Spatial intersections
  • Non-spatial data cleaning and quality control
  • Python and Git 

Additional Information:

• Salary: $162,386 to $177,840 per year
• Job Site: 2095 Rose Street, Suite 202, Berkeley, CA 94709.  
• No travel, no telecommuting
• EOE
• Must be legally authorized to work in the United States without sponsorship.