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Full-Stack Data Engineer

Job in Town of Florida, Montgomery County, New York, USA
Listing for: DataJobs
Full Time position
Listed on 2026-10-14
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Base-2 Solutions is hiring a Full-Stack Data Engineer (onsite) to support the USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order.

Responsibilities
  • Develop, maintain, and optimize data integration pipelines
    , API services
    , and front-end interfaces for geospatial and structured data visualization
  • Work with Data Lakes platforms including Databricks
    , Kubernetes
    , and ESRI ArcGIS environments
  • Build scalable, secure web applications with metadata-driven search and retrieval features
  • Integrate APIs for seamless data interoperability
  • Develop and deploy full-stack applications enabling data visualization
    , dashboarding
    , and analytics within ESRI-based GIS platforms
    , Unity Catalog
    , and cloud-based databases
  • Implement RESTful and GraphQL APIs for data retrieval and integration between the Data Lake
    , ESRI ArcGIS
    , and external sources
  • Manage CI/CD pipelines
    , containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products
  • Optimize database queries and indexing strategies for large-scale geospatial and structured datasets
Requirements
  • Bachelor's degree in Computer Science, Data Engineering, or a related field OR minimum 5 years of equivalent experience in full-stack development and data engineering
  • Demonstrated experience developing and deploying full-stack applications for data visualization
    , dashboarding
    , and analytics within ESRI-based GIS platforms
    , Unity Catalog
    , and cloud-based databases
  • Experience implementing RESTful and GraphQL APIs for data retrieval and integration
  • Experience managing CI/CD pipelines
    , containerized deployments in Kubernetes
    , and API authentication mechanisms
  • Experience optimizing database queries and indexing strategies for large-scale geospatial and structured datasets
Technologies
  • Databricks
  • Kubernetes
  • ESRI ArcGIS
  • ESRI-based GIS platforms
  • Unity Catalog
  • RESTful APIs
  • GraphQL
  • CI/CD
  • Cloud-based databases
Preferred Qualifications
  • AWS Certified Data Analytics - Specialty
  • Microsoft Certified:
    Azure Data Engineer Associate
  • ESRI ArcGIS Developer Certification
Benefits
  • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity)
  • Employee referral bonuses up to $10,000 per hired referral
  • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent)
  • 100% company-paid medical premiums for employees and eligible dependents
  • Choose from multiple plan options with Care First
    , Kaiser
    , and United Healthcare including PPO, POS, HMO, and HSA-compatible plans
  • 100% company-paid dental premiums for employees and eligible dependents
  • 100% company-paid vision premiums for employees and eligible dependents
  • 100% company-paid premiums for short-term disability
  • 100% company-paid premiums for long-term disability
  • 100% company-paid premiums for accidental death & dismemberment (AD&D)
  • 100% company-paid premiums for life insurance up to $200,000
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total)
  • 401(k) pre-tax and Roth options
  • Up to 20 days of flexible paid time off (PTO)
  • 11 paid floating holidays
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent)
Security Clearance
  • Active Top Secret/SCI

Location: Doral, FL, United States (onsite)

Minimum Experience: 5 years

Position Summary: Support the USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order by developing and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.

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