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HomeCompaniesSosi1Full Stack Data Engineer

Full Stack Data Engineer

Sosi1 · Doral, FL, United States · Active · SmartRecruiters

Job facts

FieldValue
CompanySosi1
TitleFull Stack Data Engineer
Normalized title-
Department / teamInformation Technology
LocationDoral, FL, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerSmartRecruiters
Posted / first seen2026-06-02 / 2026-06-03
Changed / last seen2026-06-03 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Sosi1.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Doral.Open
Department jobsActive postings in Information Technology.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySosi1
Source034d3260-e727-4450-bb59-4990471b7cb8
ATS providerSmartRecruiters

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. 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. Work Environment Normal office conditions. Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

Full job record

Job ID41f7e9afea7ba0bce9838f7c0eb64c9888f7a7ad
Org ID5a59924f-82b0-46db-a713-0bb2cbbe3d35
Source ID034d3260-e727-4450-bb59-4990471b7cb8
Board ID034d3260-e727-4450-bb59-4990471b7cb8
Providersmartrecruiters
Provider Job Key3743990013430656
TitleFull Stack Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextDoral, FL, United States
DepartmentInformation Technology
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionFL
CityDoral
Salary RawFounded 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. 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. Work Environment Normal office conditions. Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.smartrecruiters.com/SOSi1/3743990013430656-full-stack-data-engineer-
Apply URLhttps://jobs.smartrecruiters.com/SOSi1/3743990013430656-full-stack-data-engineer-?oga=true
First Seen At2026-06-03 10:42:18Z
Last Seen At2026-06-06 18:47:58Z
Last Checked At2026-06-06 18:47:58Z
Last Changed At2026-06-03 10:42:18Z
Inactive At
Source Posted At2026-06-02 18:56:45Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=sosi1/date=2026-06-06/2026-06-06T18-47-51-315Z-e7a3ea412d9b99d4f42d3f44c8b48282949638fd36dfd8acce6ba827260faf78.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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