Senior Data Engineer with Security Clearance
SOSi
Mooresville, AL
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JOB DETAILS
LOCATION
Mooresville, AL
POSTED
15 days ago
* Databases such as Postgres and Arango DB.
* Apache products including Apache Airflow, Apache Spark, Apache AGE.
* Containerization software with Docker, Podman, Kubernetes, and Kubeflow.
* Configuration management tools like yaml, Github, Gitlab, and FastAPI.
* Agile tools such as Confluence, Jira, Scrum Methodologies.
SOSi is seeking Senior Data Engineering talent to unlock insights from massive datasets supporting strategic national security objectives. If you have a passion for data and want to apply your skills to impactful projects at scale, we want to hear from you! Essential Job Duties * Lead the design, build, and maintenance of ETL processes.
* Configure storage systems for efficiency and effectiveness.
* Architect and develop services and extend infrastructure to enable MLOps.
* Oversee the integration of software components into functional data systems.
* Write clean, testable, maintainable code in Python and other languages.
* Create and maintain technical documentation for software systems.
* Collaborate across teams to share knowledge and leading practices. Minimum Requirements * Secret Security Clearance * Significant experience as a Data Engineer or in an advanced analytical role.
* Extensive experience in data engineering and software development.
* Expert-level proficiency with Python, GIT, YAML, Docker, and SQL.
* Deep understanding of CI/CD, DevSecOps, and Agile methodologies.
* Proven track record of developing back-end systems and services at scale.
* Strong understanding of software design and system integration.
* Experience leading and mentoring data engineering teams. Preferred Qualifications * Top Secret Security Clearance with SCI eligibility * Experience as a Site Reliability Engineer (SRE).
* Experience with Cloud-Native Services.
* Experience with MLOps and/or DevOps.
* Experience with large-scale data processing.
* Experience with multi-INT analytics.
* MS or PhD in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or a quantitative field. Work Environment * Working conditions are normal for an office environment. * Fast paced, deadline-oriented environment. * May require periods of non-traditional working hours including consecutive nights or weekends (if applicable). Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.
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