Data Engineer - PySpark, Airflow, GCP (Hybrid)

A leading Financial Services Company is seeking a Data Engineer for a long-term contract opportunity in Texas. This hybrid role involves building data processing frameworks and maintaining scalable data pipelines. Candidates should have at least 5 years of experience in data management and engineering, expertise in Python, PySpark, and Apache Airflow, along with a strong analytical background. Join a well-established firm that prioritizes client satisfaction and financial solutions. #J-18808-Ljbffr