Spatial Data Engineer I

Esri • Redlands, CA

3d • Onsite

About The Position

Esri’s ArcGIS World Geocoding solutions deliver global search and geocoding capabilities to organizations across the world. Search and geocoding are used in a wide range of applications across the ArcGIS platform such as where to open your retail store, how to best allocate resources for delivering packages, or where is, and how do I get to, my favorite coffee shop? As a Spatial Data Engineer on the geocoding team, you will work with massive spatial data from both commercial and open sources. You’ll be asked to master data specifications, automate processes for acquiring and loading spatial datasets, transform those datasets into normalized data models, and work with product teams to ensure continuous quality improvements driven by the best available content. If you are passionate about data and geospatial technology, join the geocoding team because you can’t have “The Science of Where” if you don’t know where to start!

Requirements

• 1+ years of experience developing Python scripts or tools
• Familiarity writing scripts to perform spatial operations, advanced queries, and joins in SQL
• Familiarity working with large, normalized databases
• Prior experience with ETL workflows
• 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

Nice To Haves

• Experience creating stored procedures for optimizing common tasks and operations
• Experience working with ArcMap, ArcGIS Pro, and ArcGIS geoprocessing
• Prior experience with geocoding, geocoding data, or address data
• Knowledge of Agile software development using Scrum
• Prior experience with software development and release of commercial software product

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level