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taleo

Software Engineer

Base-2 Solutions
Miami, USA
Full-time
Senior · 5+ years experience
Onsite
$10,000
Discovered 3 weeks ago
DatabricksKubernetesESRI ArcGISUnity CatalogGraphQL APIsCI/CD

Full Job Posting

Position Summary

Base-2 Solutions is seeking a Software 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

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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