Description:

Lead the modernization of core data processing systems by translating legacy SAS logic into Python solutions.
Build and maintain scalable data pipelines for large-scale datasets in a cloud-native environment.

Requirements:

Ability to read and interpret SAS code and experience with Parquet, SQL, JSON, and larger-than-memory datasets.
Proficiency in Python, including libraries like PySpark, Dask, and experience with PostgreSQL integration.
Strong SQL skills, experience in Linux environments, and knowledge of version control (Git) and unit testing.
Experience in data validation and improving code performance in production environments.
Must pass a security investigation and maintain necessary security access.

Eligible for medical, dental, vision, life & AD&D insurance, and disability insurance.
401(k) savings plan, employee assistance program, vacation, paid personal time, and 11 paid federal holidays.

Skills

Benefits