Remote DataOps Engineer for Scalable ML Pipelines

A forward-thinking tech startup seeks a DataOps Engineer to design and maintain machine learning models for marketing budget optimization. The role involves building scalable data pipelines, working closely with product teams, and leveraging tools like Apache Airflow and Terraform on AWS. Candidates should have over 5 years of experience in data engineering, strong skills in Python and SQL, and the ability to collaborate effectively. This remote position offers meaningful impact on business decisions and a supportive team culture. #J-18808-Ljbffr