As a Spatial Data Engineer on the geocoding team at Esri, you will work with large spatial datasets from various sources to enhance and automate data processes. Your role will involve mastering data specifications, transforming datasets into normalized models, and collaborating with product teams to ensure quality improvements. This position is ideal for those passionate about geospatial technology and data management. Esri offers relocation assistance for candidates moving to the Redlands, CA area.

• 2+ years of experience developing Python scripts or tools
• Experience writing scripts to perform spatial operations, advanced queries, and joins in SQL
• Intermediate to advanced experience working with large, normalized databases
• Experience transforming data from flat to normalized databases
• Prior experience with ETL workflows
• Ability to read data product specifications and translate into database models and tables
• Ability to manage priorities and tasks as needed in a fast-paced work environment
• A keen attention to detail and drive to resolve any issues encountered
• Bachelor's degree in computer science, information systems, GIS, or related field

• Analyze, enhance, prepare and load spatial data into normalized databases on regular intervals
• Write and maintain Python and SQL scripts for data processing and loading
• Evaluate new data sources for quality and attribution to support product requirements
• Review data specifications and changes, adjust scripts and processes where necessary