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Senior Data Engineer with Security Clearance

SOSiChantilly, VA🇺🇸United StatesPosted 13 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Employee
Level
Mid Senior

Job Description

Company 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. Job Description SOSi is seeking a highly skilled Senior Data Engineer to support a US government customer in Chantilly, VA. This role, requires working with a team of developers, data scientists, SMEs, and cyber analysts to design, develop, build, and analyze data management systems. The data engineer will work with and analyze our client's challenges and provide solutions by designing and implementing batch and streaming data pipelines. Essential Job Duties * Develop and perform ETL on large unstructured datasets.
* Building and maintaining CI/CD pipelines for data and platform services. Qualifications Minimum Requirements * Active in-scope TS/SCI clearance with poly. This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances.
* 5-7 years of experience as a Data Engineer (or equivalent), with a STEM degree (field such as computer science, statistics, data analytics, computer engineering, mathematics, etc.).
* Experience with services including Apache Kafka, Apache Spark, and Prefect
* Experience containerizing applications using Docker and deployments on Kubernetes * Familiarity with Linux-based systems
* Solid understanding of DevOps principles (automation, monitoring, reliability)
Preferred Qualifications * Experience in the US Intelligence Community. Additional Information Work Environment * Office setting with a combination of desk work and meetings.
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

Skills

Docker
ETL
Apache
Apache Spark
Kafka
Kubernetes

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