Data Engineer- SME

2 months ago

Huntsville, AL, USASenior

Responsibilities

Build and maintain data pipelines, ETL processes, and storage systems.
Design end-to-end data architectures and infrastructure.
Lead teams building complex data pipelines and machine learning systems.
Develop services and extend infrastructure to enable machine learning workflows.
Integrate software components into functional data systems.
Write clean, testable, and maintainable code in Python and other languages.
Implement CI/CD pipelines and DevSecOps best practices.
Create technical documentation for software systems.
Collaborate across teams to share knowledge and leading practices.
Partner with Data Scientists and end users to automate manual workflows and produce MLOps-based workloads.

Top Secret security clearance with SCI eligibility.
At least 7 years of experience as a Data Engineer, Data Scientist, or in an advanced analytical role.
Experience in data engineering and/or software development.
Expertise with Python, Git, YAML, Docker, and SQL.
Knowledge of CI/CD and Agile methodologies.
Experience developing back-end systems and services.
Understanding of software design and system integration.
Preferred: significant experience with petabyte-scale data sets and large-scale, multi-INT analytics.
Preferred: BS or MS in Computer Science, Statistics, Mathematics, Physics, or a quantitative field.

1,001-5,000 employees