Data Engineer

Base-2 Solutions

Miami (FL)

On-site

USD 120,000 - 180,000

Full time

16 hours ago
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Benefits offered by this job

Health insurance
Dental coverage
Vision coverage
401(k) with match
PTO
Floating holidays

Job summary

Base-2 Solutions is seeking a Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS. The role involves building data pipelines, APIs, and front-end interfaces for geospatial and structured data visualization from Databricks, ESRI ArcGIS, and cloud databases.

The candidate will work on end-to-end data engineering, cloud data platforms, and secure access via CI/CD pipelines in a first-shift, on-site Miami, FL environment.

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or a related field, or 5+ years of equivalent experience.
  • Experience deploying full-stack data visualization dashboards in ESRI GIS platforms, Unity Catalog, and cloud databases.
  • Experience implementing RESTful and GraphQL APIs for data retrieval and integration.
  • Experience managing CI/CD pipelines and Kubernetes deployments with API authentication.
  • Experience optimizing queries for large-scale geospatial datasets.

Responsibilities

  • Develop and optimize data pipelines, APIs, and front-end interfaces for geospatial data visualization.
  • Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments.
  • Build scalable web apps with metadata-driven search features.
  • Integrate APIs for seamless data interoperability.
  • Develop full-stack apps enabling visualization within ESRI GIS, Unity Catalog, and cloud DBs.
  • Implement RESTful and GraphQL APIs for data retrieval and integration.
  • Manage CI/CD pipelines, containerized deployments in Kubernetes, and API security.
  • Optimize database queries and indexing for large geospatial datasets.

Skills

Full-stack development
Data engineering
APIs integration
Data visualization
Cloud data platforms
Geospatial data
RESTful APIs
GraphQL APIs
CI/CD pipelines
Kubernetes

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Tools

Databricks
Kubernetes
ESRI ArcGIS
Unity Catalog
Cloud databases

Job description

  • Required Security Clearance: Top Secret/SCI
  • Location: Miami, FL
  • Work Type: On-Site
  • Shift: First
  • Referral Eligibility: Eligible
  • U.S. Citizenship Required? Yes
Position Summary

Base-2 Solutions is seeking a Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. The role involves developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.

Essential Duties And 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 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.
Required Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 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.
Preferred Qualifications
  • AWS Certified Data Analytics - Specialty.
  • Microsoft Certified: Azure Data Engineer Associate.
  • ESRI ArcGIS Developer Certification.
Required Education and Experience Equivalency
  • Bachelor's degree in Computer Science, Data Engineering, or a related field.
  • OR 5 years of equivalent experience in full-stack development and data engineering.
Required Certifications
  • None specified.
Required Security Clearance
  • Active Top Secret/SCI
Pay & Benefit Highlights
Compensation
  • 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).
Health
  • 100% company-paid medical premiums for employees and eligible dependents.
  • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, 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.
Income Protection
  • 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.
Retirement
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
  • 401(k) pre-tax and Roth options.
Leave
  • Up to 20 days of flexible paid time off (PTO).
  • 11 paid floating holidays.
Work-Life Balance
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).
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