Job ID :
40021
Company :
Internal Postings
Location :
Greenwood Village, CO
Type :
Contract
Duration :
6 Months
Salary :
DOE
Status :
Active
Openings :
1
Posted :
03 Jul 2023
Job Seekers, Please send resumes to resumes@hireitpeople.com

Key Responsibilities:

  • Develop web applications to visualize and provide insights into large volumes of location - enabled event data.
  • Offer creative solutions when faced with data volume, data quality, and data usability challenges
  • Participate in software development lifecycle from requirements gathering to planning long-term support. Be willing to collaborate with non-technical stakeholders, development operations staff, data scientists, and software architects.
  • Apply professional software engineering techniques and best practices for code standards, software testing, code reviews, source code management, and deployment processes.

Required qualifications:

  • Bachelors Degree
  • 3+ years of professional experience with web application development
  • Proficiency with web application development using JavaScript/HTML/CSS
  • Fluency with modern web application development tools and the following JavaScript libraries: React, Material-UI
  • Experience working with Geographic Information Systems (GIS) and a basic understanding of geospatial concepts like spatial reference systems and spatial data representations
  • Source Code Management using Git
  • Ability to develop and maintain automated unit test and functional test plans
  • Comfortable working in an Agile software engineering environment

Desired qualifications:

  • Familiarity with the following web application development libraries: ArcGIS JavaScript, D3.js, Mapbox GL JavaScript
  • Knowledge of Continuous Integration/Continuous Delivery practices
  • Familiarity with the ArcGIS Enterprise mapping and spatial analytics platform
  • Full-stack application development experience with Python
  • Application development experience with the Elasticsearch Search API
  • Data management experience with relational databases. E.g., Microsoft SQL Server, PostgreSQL
  • Data management experience with Hadoop. E.g., Hive, Spark