Data Engineer

The client is seeking an experienced Data Engineer with strong expertise in Python, AWS, Kubernetes, and MLOps to build and manage scalable data and machine learning pipelines. The role involves working with modern ML tooling such as Spark, Pandas, and NumPy in a cloud-based environment to support advanced analytics and model deployment. The role is based in McLean, VA, and the job is open to candidates within the 100 miles radius of McLean, VA., Design and develop scalable data pipelines and ML workflows Implement and manage end-to-end MLOps lifecycle including deployment and monitoring Work with distributed data processing systems using Spark and AWS Deploy and manage containerized applications using Kubernetes and Kubeflow Collaborate with cross-functional teams to productionize ML models Ensure data quality, performance optimization, and system reliability

Python 5+ years AWS (Amazon Web Services) 5+ years Kubernetes 5+ years Kubeflow 5+ years MLOps 5+ years Apache Spark 5+ years Pandas 5+ years NumPy 5+ years Prior experience working with the client 5+ years