**This position is contingent upon contract award**SOSi is seeking a Full-Stack Data Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:- Develop and maintain the data pipeline infrastructure, ensuring scalable ingestion, transformation, and integration of structured and unstructured datasets within the cloud-based CIP platform.
- Optimize data storage strategies, implementing efficient query execution, indexing, and retrieval techniques for high-volume mission datasets.
- Integrate APIs for secure data sharing across operational environments, ensuring controlled access and compliance with security frameworks.
- Submit the Data Pipeline Optimization Report, detailing improvements in ingestion speed, storage efficiency, and API integrations.
- Integrate all ingestion and transformation workflows with the Identity and Access Management (IAM) framework provisioned under other work orders; and coordinate with the work order team to define required roles, enforce RBAC policies, and maintain compliance with authentication and access standards across IL environments.
Qualifications- Active TS/SCI clearance.
- Bachelor's degree in Computer Science, Data Engineering, or a related field, or five (5) years of equivalent experience in full-stack development and data engineering.
- Knowledge and capability to develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.
- Proficient in Data Lakes platforms 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
- 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.
Preferred Qualifications:- Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification.
Additional InformationWork Environment- Normal office conditions.
