Senior GIS Analyst (Passive Hiring)

Are you a GIS professional looking to take your expertise to the next level by automating workflows, transforming data, and developing advanced solutions in cloud environments? At Xentity, we specialize in pioneering geospatial solutions that support vital areas such as emergency response, science, and transportation. This is not your typical GIS Analyst role—you’ll work across the entire geospatial data supply chain, delivering innovative solutions for Next Generation 911, forest management, wildland fire, intelligent transportation systems, and open data platforms.

Our team thrives in a dynamic and collaborative environment where curiosity, adaptability, and a passion for creating meaningful impacts on earth-focused programs drive our work. If you’re ready to push boundaries and contribute to cutting-edge projects, this role is for you.

Working Environment:

Rapidly learning new subject matter, including client-specific terminology and context.

Self-motivated professionals collaborating in Agile Kanban or Scrum environments.

Focus on client satisfaction with a deep understanding of how to advance technology in government settings.

Engaged peers challenging each other on analysis, visualizations, architecture, and solution design—fostering continual learning and data-driven value for clients.

Project-based work with opportunities to contribute across multiple projects.

Responsibilities:

Pre-Development (25%)

Data Requirements & Definition Analysis: Collaborate with product owners to define source and target field mapping, schemas, transformation rules, and validation design prior to development.

Data Curation: Manage data ingestion, acquisition, and curation, working with suppliers, clients, and partners. Familiarity with both open/public data sources and REST APIs is a must.

Data Validation & Rules Analysis: Assist in creating scripts to audit data quality, validate datasets, and handle error checking, ensuring the integrity of both tabular and geospatial data.

Development (50%)

Data Scripting & Processing: Develop scripts to validate and process both geospatial (vector data) and tabular data, handling metadata and ensuring data lineage. Experience with geospatial themes such as addresses, roads, and boundaries is key.

Data Demos & Storytelling: Create demos and visualizations to showcase data results and tell compelling stories through dashboards and apps.

Operations (25%)

Data Cloud Processing: Support the integration of scripts within cloud-based data pipelines, ETL processes, and automation tools. Familiarity with AWS-based cloud engines (e.g., ECS, EC2, S3) and serverless technologies is beneficial.

Data Process Operations: Aid in the operationalization of data processes, ensuring smooth execution, and maintain technical documentation related to process monitoring and operations.

Required Technical Experience:

GIS Tools: ESRI ArcGIS Server, ArcGIS Online, Open Data Hub, Boundless (Q), GDAL, Ogr2ogr, ArcPy, GeoPandas, Docker.

Data Cleaning & ETL: Experience with metadata management, data inventory, and ETL processes.

Subject Matter Expertise: Proficiency in data editing and scripting for addresses, street address ranges, roads, and boundaries.

Programming: Strong knowledge of Python, GDAL, Ogr2ogr, and Pandas.

Database Technology: PostgreSQL and PostGIS.

Cloud & Containerization: AWS (ECS, EC2, S3), Docker, Kubernetes.

Visualization Tools: Experience with Power BI, Tableau, Carto, or similar platforms.

Other Tools: Familiarity with GIT, JIRA, and Wordpress is a plus.

Basic Skill Requirements:

Quick to learn and adapt, meeting team goals with a can-do attitude and delivering results.

Ability to work on multiple time-sensitive tasks while rapidly switching between technical subjects and project priorities.

Strong ability to work independently and collaboratively within an integrated team.

Excellent oral and written communication skills.

Demonstrate strong analytical, problem-solving, and critical thinking abilities.

Other Requirements:

Bachelor’s degree (preferred BA or MA) in a relevant field, with at least 5 years of experience working with GIS data.

Location: U.S. Remote

Ability to pass a basic NACI, background check, and drug and reference checks.

No travel required, though occasional local travel may occur.