Data Platform Engineer #1865711

Network Designs Inc.•, VA

7d•Remote

About The Position

We are seeking a Data Platform Engineer to build, automate, publish, and sustain geospatial data pipelines, services, and analytical products that make FAA location-based information reliable, accessible, and actionable. This role supports the FAA Chief Data Office (CDO) Enterprise Information & Data Integration Program and collaborates with cross-functional technical, data, and mission-focused teams to deliver secure, scalable, and well-documented data solutions.

Requirements

U.S. Citizenship is required
Must be able to obtain and maintain a Public Trust clearance
This position is remote, candidate must reside in one of the following states: AL, AZ, DC, FL, GA, ID, MD, MS, NJ, NC, OK, OH, PA, SC, TN, TX, UT, VA, WV
Occasional travel may be required. Candidates should be able to attend meetings at FAA facilities and other locations throughout the Continental United States (CONUS) as required.
Bachelor's degree in computer science or a similar discipline, or three years of military experience in a qualified geospatial analysis role.
Minimum 4 years of demonstrable experience developing geospatial visualization, analytical, and/or business intelligence products in an enterprise environment.
Demonstrated ability to perform work closely related to the assigned tasks and work products.
Strong written, verbal, analytical, organizational, problem-solving, and cross-functional collaboration skills.
Ability to work with sensitive, confidential, or regulated information and follow FAA and federal policies and procedures.
Ability to use FAA-issued accounts and Government-designated collaboration and task-tracking systems as required.

Nice To Haves

Experience with FAA, aviation, safety, or federal geospatial data.
Experience with enterprise ArcGIS server administration and cloud integration.
Experience developing BI dashboards, spatial analytics, and automated web-service publishing

Responsibilities

Document architecture and data flows for geospatial ETL automation into enterprise geodatabases and ArcGIS data stores.
Develop reusable Python code using ArcGIS Python API, ArcPy, GeoPandas, and GDAL to create and maintain geospatial ingestion and transformation pipelines.
Automate publishing and updating of web services from ArcGIS Pro projects and other geospatial formats to ArcGIS Enterprise or ArcGIS Online.
Manage Python environments and package dependencies and coordinate deployment and configuration on approved automation servers.
Design refresh schedules, production automation, monitoring, alerting, and rapid response procedures for ETL and publishing failures.
Configure, optimize, and sustain GIS server integrations, SaaS tools, cloud-installed solutions, and associated AWS resources.
Support security assessments, technical responses, vulnerability mitigations, configuration documentation, and compliance activities.
Collaborate with geospatial users and user communities to execute data calls, respond to policy and datum changes, and translate analytical needs into maps, dashboards, services, and spatial analyses.
Validate data accuracy, consistency, and integrity and present findings and recommendations to technical and mission stakeholders.