Data Engineer (W2 Only)
Role summary
Seeking a Data Engineer to build and maintain scalable data pipelines using Python, Apache Spark, and AWS. This 12-month contract role involves working with large datasets, optimizing ETL processes, and supporting AI/ML initiatives by providing reliable data and feature pipelines. The engineer will collaborate with data scientists and analytics teams to deliver production-ready data solutions. Expertise in data migration, AWS cloud services, DataBricks, and petabyte-scale data handling is required.
Job Title: Data Engineer (Python, Spark, AWS)
Location: Plano, TX & Columbus. OH
Duration: 12 Months contract
Pay Rate: $55/Hr. on W2
Job Description:
We are seeking a Data Engineer to build and maintain scalable data pipelines using Python, Apache Spark, and AWS. The role involves working with large datasets, optimizing ETL processes, and supporting AI/ML initiatives by enabling reliable data and feature pipelines. You will collaborate closely with data scientists and analytics teams to deliver high-quality, production-ready data solutions.
- Data Engineering with migration expertise
- AWS Cloud services (Queuing, data processing, storage tiering, security indexing etc)
- DataBricks
- Experience with migrating petabytescale data
Key Skills: Python, Spark (PySpark), AWS, SQL, ETL, AI/ML data exposure
Pay: Up to $55.00 per hour
Work Location: In person