Data Engineer

      •     Design, develop, and maintain scalable data pipelines using Python and PySpark

      •     Build and optimize ETL/ELT processes in Databricks

      •     Implement data transformation and ingestion workflows

      •     Work with structured and unstructured datasets

      •     Ensure data quality, integrity, and compliance with IRS data governance policies

      •     Collaborate with data scientists and analysts to support analytics use cases

      •     Optimize performance of large-scale distributed data systems

      •     Support cloud-based data architecture initiatives

 

Required Qualifications:

      •     5+ years of experience in Data Engineering

      •     Strong hands-on experience with Python, PySpark, Databricks

      •     Experience with large-scale distributed data processing

      •     Experience working in a federal government environment (IRS preferred)

      •     Knowledge of data warehousing concepts and data modeling

      •     Experience with SQL and relational databases

      •     Familiarity with cloud platforms (Azure preferred)

 

Preferred Qualifications:

      •     Experience supporting IRS modernization programs

      •     Knowledge of federal data security and compliance standards

      •     Experience with CI/CD pipelines and DevOps practices