AWS Data Platform Lead — Scalable Data Pipelines

A leading tech firm in St. Louis is seeking an experienced data engineer to design and build scalable, cloud-native data platforms using PySpark and Python. The role involves mentoring engineers, optimizing ETL/ELT pipelines for business-critical use cases, and ensuring best practices in data governance. A Bachelor’s degree is required, along with skills in modern data engineering and cloud services. Competitive salary range is $120,000 - $135,000 per annum, inclusive of bonuses. #J-18808-Ljbffr