Description

You will design and implement data pipelines and analytical solutions for complex security operations. You own the end-to-end data lifecycle, from extraction and transformation to modeling and deployment.

Responsibilities

• Build and maintain robust ETL/ELT pipelines using Python and SQL to process structured and semi-structured data.
• Define and enforce data schemas, normalization standards, and quality controls across large datasets.
• Develop and deploy predictive models and services via APIs, Docker, or Kubernetes.
• Conduct statistical analysis, data profiling, and validation to support cyber security operations.
• Document technical designs and maintain clear communication with engineering and security teams.

Required Skills

• 9+ years of experience in data science, data engineering, or analytics.
• Strong proficiency in Python for data manipulation, scripting, and analytics.
• Extensive experience with SQL databases, specifically Postgres.
• Proven track record of data extraction, transformation, and preparation.
• Deep familiarity with data formats including JSON and XML.
• Bachelor's degree in a technical field or equivalent practical experience.

Preferred Skills

• Experience with Java, Maven, and command-line shell environments.
• Willingness to obtain DoD IAT II certification.
• Familiarity with Agile methodologies and RESTful API design.

Key Skills

Education

Bachelor's degree