GIS Data Architect/Analyst - Remote

Job Description

GIS Data Architect/Analyst – Remote

About us

Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.

Join us in driving growth and seizing new business opportunities.

Role and Responsibilities

This request seeks experienced GIS contractors to develop, implement, and maintain a robust Enterprise GIS system for the State client. Contractors will design and build GIS-based solutions for data extraction, translation, collection, analysis, visualization, and reporting. This includes creating interactive dashboards and web mapping applications.

Contractors will provide comprehensive GIS support, including but not limited to:

Data Management: Data extraction, transformation, loading, validation, and modelling.

Application Development: Building and maintaining GIS applications using scripting, geo- processing, and other relevant tools.

System Administration: Configuring, integrating, and optimizing GIS software and hardware.

Analysis and Reporting: Conducting spatial analysis and generating reports to support decision-making.

User Support: Providing technical assistance and training to staff

Client has invested in a suite of GIS technologies, including but not limited to:

Esri ArcGIS Suite: For enterprise GIS capabilities.

Feature Manipulation Engine (FME): For data transformation and integration.

VertiGIS Studio and Inline: For web map development.

Tableau: For data insights, visualization and analysis.

PMGs HPMS/SLD Manager: For highway performance management system data and straight-line diagramming.

Contractors will deliver well-documented, efficient, and sustainable GIS solutions. Knowledge transfer through training and documentation is essential.

To enhance client’s data management and analysis capabilities, improve decision-making, and meet federal reporting requirements through the effective development and utilization of an Enterprise GIS system.

Minimum Qualification

GIS data modeling

For Geospatial Data Warehousing

Linear Referencing Systems

Linear Referencing Methods

Artificial Intelligence tools

Machine Learning

Deep Learning

Large Language Models

Generative Pre-training Transformer

Preferred Skills

Expertise and/or relevant experience in the following areas are desirable but not mandatory:

Feature Manipulation Engine (FME)

Readers and Writers for Extracting, Transforming and Loading (ETL) of data

Cross platform data formats

Scripting and Coding for ETL processes

Full-time

Fully remote