Data Engineer with Security Clearance

Base-2 Solutions; Miami (FL); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive fixed salary or hourly pay

Employee referral bonuses up to $10,

100% company-paid medical premiums

401(k) with 8% total company match

PTO up to 20 days

11 paid floating holidays

Flexible work schedules

Job summary

Base-2 Solutions seeks a Data Engineer to design and maintain data integration pipelines and API services for geospatial and structured data visualization. You will work with data lakes technologies such as Databricks and Kubernetes, and ESRI ArcGIS environments to build scalable web apps with metadata-driven search and retrieval features.

You will deploy full-stack applications enabling dashboards within ESRI GIS platforms, Cloud databases, and Unity Catalog, while implementing RESTful and

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or related field.
• Experience deploying full-stack data visualization and analytics within ESRI-based GIS platforms and cloud databases.
• Experience implementing RESTful and GraphQL APIs for data retrieval and integration.
• Experience managing CI/CD pipelines and containerized deployments in Kubernetes.

Responsibilities

• Develop, maintain, and optimize data 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 and dashboards within ESRI GIS platforms and cloud databases.
• Implement RESTful and GraphQL APIs for data retrieval and integration.
• Manage CI/CD pipelines and containerized deployments in Kubernetes, ensuring secure access to research products.
• Optimize database queries and indexing strategies for large-scale geospatial datasets.

Skills

Full-stack development

Data integration pipelines

API services

Data visualization

CI/CD pipelines

Kubernetes

Databricks

ESRI ArcGIS

Unity Catalog

RESTful APIs

GraphQL APIs

Education

Bachelor's degree in CS/Data Engineering

5+ years equivalent experience

Tools

Databricks

Kubernetes

ESRI ArcGIS

Unity Catalog

REST APIs

GraphQL

Job description

Job Description 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.


• None specified.


• 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). NT