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Data Engineering Expert for National Security Missions

1 month ago


Reston, Virginia, United States SOS International LLC Full time

SOS International LLC seeks a highly skilled Data Engineer to join our MLOps Team in Huntsville, Alabama. As a key member of the team, you will be responsible for designing, building, and maintaining efficient data workflows leveraging cutting-edge technologies.

The ideal candidate will have significant experience as a Data Engineer or in an advanced analytical role, with extensive knowledge of data engineering and software development principles. Proficiency in Python, GIT, YAML, Docker, and SQL is required, along with a deep understanding of CI/CD, DevSecOps, and Agile methodologies.

Key responsibilities include leading the design, build, and maintenance of ETL processes, configuring storage systems for efficiency and effectiveness, and architecting and developing services and extending infrastructure to enable MLOps. Additionally, the selected candidate will oversee the integration of software components into functional data systems, write clean, testable, maintainable code, and create and maintain technical documentation for software systems.

In this role, you will work closely with Data Scientists across the organization to construct digital infrastructure necessary to produce and deploy Machine Learning models. You will leverage scientific techniques to iteratively transform petabyte-scale data, construct efficient and effective Extract, Transform, and Load (ETL) pipelines, and refactor manual workflows into containerized-services.

We are seeking a talented individual who can work collaboratively across teams to share knowledge and leading practices. The ideal candidate will have a strong understanding of software design and system integration, experience leading and mentoring data engineering teams, and a proven track record of developing back-end systems and services at scale.

In exchange for your expertise, we offer a competitive salary range of $120,000 - $180,000 per year, commensurate with experience, plus benefits including health insurance, 401(k) matching, and paid time off. If you have a passion for data and want to apply your skills to impactful projects at scale, we encourage you to apply.