SOSi
Technology
FullStackDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Full Stack Data Engineer at SOSi. Skills: Data Engineering, Full-stack development, Cloud platform, Data ecosystem. Develop data pipeline infrastructure. Maintain data pipeline infrastructure”
What You'll Achieve.
Enhance interoperability; Enhance governance; Enhance mission-driven analytics; Enable real-time information sharing; Enable dynamic data integration; Enable mission-tailored analytical capabilities; Improve ingestion speed; Improve storage efficiency; Improve API integrations
Industry & Context.
Root cause analysis
Active TS/SCI clearance
What They're Looking For.
Must Have
Active TS/SCI clearance, Bachelor’s degree in Computer Science, Five (5) years of equivalent experience, Knowledge of data integration pipelines, Knowledge of API services, Knowledge of front-end interfaces, Proficient in Data Lakes platforms, Proficient in Databricks, Proficient in Kubernetes, Proficient in ESRI ArcGIS environments, Proficient in cloud-based data engineering, Expertise in building scalable web applications, Expertise in implementing metadata-driven search, Expertise in integrating APIs, Developing and deploying full-stack applications, Implementing RESTful APIs, Implementing GraphQL APIs, Managing CI/CD pipelines, Managing containerized deployments, Optimizing database queries, Optimizing indexing strategies
Nice to Have
AWS Certified Data Analytics – Specialty, Azure Data Engineer Associate, ESRI ArcGIS Developer Certification
What You'll Do.
Develop data pipeline infrastructure
Maintain data pipeline infrastructure
Ingest structured datasets
Transform structured datasets
Integrate structured datasets
Ingest unstructured datasets
Transform unstructured datasets
Integrate unstructured datasets
Optimize data storage strategies
Implement efficient query execution
Implement indexing strategies
Implement retrieval techniques
Integrate APIs for data sharing
Submit Data Pipeline Optimization Report
Integrate ingestion workflows
Integrate transformation workflows
Coordinate with work order team
Define required roles
Enforce RBAC policies
Maintain compliance with standards
How You'll Work.
Team & Collaboration
Cross-functional teams; Work order team
Process & Methodology
CI/CD pipelines
Full Job Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. 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 developm
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