Data Engineer with Security Clearance

Base-2 Solutions; Miami (FL); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Bonus opportunities

401(k) retirement plan

Dental insurance

Vision insurance

Life insurance

Disability insurance

Flexible PTO

Job summary

Base-2 Solutions is seeking a Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS. You will develop data pipelines, APIs, and front-end interfaces for geospatial and structured data, leveraging Databricks, Kubernetes, ESRI ArcGIS, and Unity Catalog in cloud environments.

The role focuses on building scalable web apps, data visualization dashboards, and secure data access, with emphasis on CI/CD, API authentication, and large-scale geospatial data processing.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Equivalent experience of 5 years in full-stack development and data engineering accepted.
• Experience building full-stack data visualization dashboards and analytics.

Responsibilities

• Develop, maintain, and optimize data integration pipelines and APIs.
• Build front-end interfaces for geospatial and structured data visualization.
• Work with Data Lakes platforms including Databricks and Kubernetes.
• Develop and deploy full-stack applications for data visualization within ESRI-based GIS platforms and cloud databases.
• Implement RESTful and GraphQL APIs for data retrieval and integration.
• Manage CI/CD pipelines and containerized deployments in Kubernetes.
• Optimize queries and indexing for large-scale geospatial datasets.

Skills

Full-stack development

Data engineering

REST APIs

GraphQL APIs

Kubernetes

Databricks

ESRI ArcGIS

Unity Catalog

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Kubernetes

ESRI ArcGIS

Unity Catalog

Cloud databases

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.

Required Certifications

• None specified.

Required Security Clearance

• Active Top Secret/SCI

Equal Employment Opportunity

• Base-2 Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law, and will not be discriminated against on the basis of disability.

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

• NT