Full Stack Data Engineer

Requirements

• Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification.
• Work Environment
• Normal office conditions.
• Working at SOSi
• All interested individuals will receive consideration and will not be discriminated against for any reason.

Benefits

Additional Information

**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. 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.

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