Full-Stack Data Engineer — GIS & Cloud Data Pipelines

Celestar Holdings Corporation; Town of Florida (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health plans (HSA) and dental/vision

401(k) with company match

Paid time off

Training & certifications

Pet insurance

Commuter transit benefits

Wellness programs

Annual wellness challenges

Job summary

Celestar Holdings Corporation, a B&A Company, is seeking a Full-Stack Data Engineer to support SOUTHCOM. You will join a team delivering data integration, visualization, and analytics across geospatial and structured data.

The role requires a bachelor’s degree in CS or Data Engineering or 5+ years of full-stack/data engineering experience, plus hands-on work with ESRI ArcGIS, cloud data services, and API integration. Active TS/SCI clearance preferred.

Qualifications

• Bachelor's degree in computer science, data engineering, or related field OR 5+ years' equivalent experience in full-stack development and data engineering.
• Experience building data visualization, dashboards, and analytics within GIS platforms and cloud databases.
• Experience deploying full-stack apps with data integration and secure API access.

Responsibilities

• Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.
• Proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.
• Build scalable, secure web applications, implement metadata-driven search and retrieval features, and integrate APIs for seamless data access.

Skills

Full-stack data engineering

Data visualization & dashboards

RESTful & GraphQL APIs

CI/CD & Kubernetes

Education

Bachelor's in CS / Data Engineering or 5+ years equivalent

Tools

Databricks

Kubernetes

ESRI ArcGIS

Unity Catalog

Job description

Celestar Holdings Corporation, a B&A Company, is seeking a Full-Stack Data Engineer to support SOUTHCOM. You will join a team delivering data integration, visualization, and analytics across geospatial and structured data.

The role requires a bachelor’s degree in CS or Data Engineering or 5+ years of full-stack/data engineering experience, plus hands-on work with ESRI ArcGIS, cloud data services, and API integration. Active TS/SCI clearance preferred.