Spatial Data Engineer II

Environmental Systems Research Institute, Inc.
Redlands, CA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Training Data Geographic Information Systems Agile Methodology ArcGIS (Software) ArcMap Information Systems Databases Extract Transform Load (ETL) Database Models Geocoding Python (Programming Language) Open Source Technology
+13 more
Commercial Software Scrum Methodology Standard Sql Software Engineering Spatial Data Infrastructures SQL Stored Procedures SQL Databases Esri GIS (Software) Data Processing Scripting Information Technology Data Management Multiplatform

Job description

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!

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.

Responsibilities

  • Analyze, enhance, prepare and loadspatial 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

Requirements

Spatial Data, Retail, Order Delivery, Resource Management, ArcGIS, Multiplatform/Cross-Platform, Store Opening, Open Source, Training Data Sets, Spatial Data, * 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

Recommended Qualifications

  • Experience working with commercial data from data vendors such as Here, TomTom or Infutor
  • Experience working with open-source spatial data such as OpenStreetMap, or Tiger/Line
  • 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
  • Prior experience with ETL workflows

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