Full-Stack Data Engineer

Prescient Edge; Town of Florida (NY); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary with performance bonus

Comprehensive healthcare benefits

Substantial retirement plan

Career development opportunities

Job summary

Prescient Edge is seeking a Full-Stack Data Engineer to support federal clients with data integration and visualization tasks. This crucial role requires proficiency in full-stack development and database architecture, along with knowledge of cloud technologies like Databricks and Kubernetes.

The ideal candidate will have experience in metadata management and API integrations while working in a dynamic environment supporting national security. Competitive benefits include comprehensive healthcare and career development opportunities.

Qualifications

• Proficient in developing and deploying web applications for data visualization.
• Experience with metadata management solutions and data integration is essential.
• Familiarity with CI/CD pipelines and secure API access protocols.

Responsibilities

• Develop and maintain a data catalog integrating geospatial and research data.
• Optimize data integration pipelines and front-end interfaces.
• Establish compliance with DoD data management policies.

Skills

Full-stack development

Database architecture

API integration

Geospatial analysis

Data governance

Kubernetes

Databricks

ESRI ArcGIS

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Kubernetes

ESRI ArcGIS

Job description

Job Title

Location

Doral, FL 33122 US (Primary)

Category

Job Type

Full-Time

Staff

Education

Bachelor's Degree

Travel

Security Clearance Required

TS/SCI

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

• 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.

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

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.