About this role

Supporting daily operations and stakeholder engagement.
Maintaining scalable 'security-first' data pipelines and ETL processes using Python.
Utilizing Ansible to automate provisioning and configuration.
Identifying and eliminating manual bottlenecks in data lifecycle through custom scripting and CI/CD integration.
Performing complex data analysis and developing predictive models.
Designing and executing intelligence-driven testing and adversary emulation exercises.

Bachelor’s degree or four or more years of work experience.
Four or more years of relevant experience required.
Two or more years experience with scripting and programming (i.e. Python or Powershell).
Experience with Python and writing clean, modular, and testable production-grade code.
Deep experience with Ansible.
Strong command of SQL and experience working with cloud data warehouses (e.g., Snowflake, BigQuery, or Redshift).
Comfort working in a Linux environment.
Advanced knowledge of Git workflows.
Experience with workflow orchestration tools like Airflow, Dagster, or Prefect.
Experience providing support for security related technologies.

Data Security Engineer

Key skills