Full-Stack Data Engineer with Security Clearance

Prescient Edge; Miami (FL); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary + bonus

Healthcare: medical, vision, dental

Retirement plan

Tuition reimbursement

Professional networking

On-the-job training

Job summary

Prescient Edge is seeking a Full-Stack Data Engineer to support a Federal Government client. Location is Doral, Florida with TS/SCI clearance noted; position contingent on award. The role focuses on developing and maintaining an outward-facing data catalog with geospatial and research data layers.

Responsibilities include optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing data, and implementing metadata governance across CIP platforms.

Qualifications

• Experience in developing interactive web portals and API-driven data exchange.
• Proficient with Databricks, ESRI ArcGIS, Open Lineage, and metadata management.
• Developed full-stack apps enabling data visualization, dashboards, and analytics in ESRI GIS and cloud databases.
• Implemented RESTful and GraphQL APIs for data retrieval and integration.
• Managed CI/CD pipelines and containerized deployments in Kubernetes; ensured secure access.
• Knowledge of metadata tagging, data governance, and data cataloging.

Responsibilities

• Develop and maintain a data catalog integrating geospatial and research data layers.
• Optimize data pipelines, API services, and front-end interfaces for visualization.
• Build scalable, secure web applications with metadata-driven search and retrieval.
• Establish metadata governance aligned with DoD data management policies.
• Collaborate to integrate Open Lineage and GIS metadata standards across CIP.

Skills

Full-stack development

Data visualization

API integration

Education

Bachelor's degree in CS / Data Engineering / GIS

5+ years of equivalent experience in data engineering and full-stack development

Tools

Databricks

ESRI ArcGIS

Open Lineage

Unity Catalog

Kubernetes

RESTful APIs

GraphQL

Job description

Prescient Edge is seeking a Full-Stack Data Engineer to support a Federal Government client. Please note that the availability of this position is contingent upon contract award. Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:

• A competitive salary with performance bonus opportunities.
• Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
• A substantial retirement plan with no vesting schedule.
• Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
• A positive work environment where employees are respected, supported, and engaged.
• Description:
• Proposed personnel possess the knowledge and capability to develop, maintain, and optimize an outward-facing data catalog that integrates geospatial and research data layers.
• Optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.
• Must be proficient in full-stack development, database architecture, and API integration to enable seamless search, filtering, and rendering of structured research products.
• Must be proficient in Data Lakes splat forms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud based data engineering.
• Expertise in building scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required.
• Shall establish and maintain metadata governance frameworks, ensuring compliance with DoD data management policies and interoperability with a Data Catalog.
• Shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform.
• Shall implement and manage data governance workflows, ensuring integration with Open Lineage, Unity Catalog, and GIS metadata standards.
• Shall submit the Metadata & Data Governance Compliance Report, detailing lineage tracking, classification policies, and security enhancements.
• Shall develop and maintain the data pipeline infrastructure, ensuring scalable ingestion, transformation, and integration of structured and unstructured datasets within the cloud-based CIP platform.
• Shall optimize data storage strategies, implementing efficient query execution, indexing, and retrieval techniques for high-volume mission datasets.
• Shall integrate APIs for secure data sharing across operational environments, ensuring controlled access and compliance with security frameworks.
• Shall submit the Data Pipeline Optimization Report, detailing improvements in ingestion speed, storage efficiency, and API integrations.
• Job Requirements Experience:
• Must have demonstrated experience in developing interactive web-based data portals, implementing API driven data exchange, and integrating geospatial data layers into web applications.
• Must have experience working with Databricks, ESRI ArcGIS Feature Services, Open Lineage, and metadata management solutions is required.
• Must have demonstrated experience in: Developing and deploying full-stack applications that enable data visualization, dashboarding, and analytics within ESRI based GIS platforms, Unity Catalog, and cloud-based databases.
• Implementing RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
• Managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
• Optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.
• Desirable but not required certifications include Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics - Specialty, or ESRI Web GIS Developer Certification.
• Education:
• Bachelor's degree in computer science, Data Engineering, Geospatial Information Systems (GIS), or a related field, or five (5) years of equivalent experience in data engineering, full-stack development, and metadata-driven data cataloging.
• Security clearance:
• TS/SCI
• Location:
• Doral, Florida. (USSOUTHCOM Headquarters)
• Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.