Senior Data Engineer | (Big Data & MLOps) | W2 | Onsite

Position: Senior Data Engineer | (Big Data & MLOps) | W2 | OnsiteLocation: Onsite 5 days a week Pittsburgh, PADevelop scalable ETL/ELT solutions using Python, PySpark, Spark, SQL, and Hive.Deploy and manage applications in OpenShift/Kubernetes container environments.Collaborate with Data Scientists, ML Engineers, and cross-functional teams to operationalize machine learning models.Optimize Big Data processing frameworks and improve data platform performance.Troubleshoot and resolve issues in Linux/Unix environments.Implement best practices for DataOps and MLOps, including CI/CD for data and ML workflows.Ensure data quality, reliability, scalability, and security across data platforms.Required Qualifications:Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.5+ years of experience as a Data Engineer, Senior Data Engineer, Big Data Engineer, MLOps Engineer, or related role.Hands-on experience building Machine Learning pipelines and supporting model deployment and training processes.Strong experience with OpenShift, Kubernetes, and container technologies.Proficiency in Python and/or PySpark for data engineering and automation tasks.Strong experience with SQL, Hive, Spark, and Apache Spark.Experience working in Linux/Unix environments.Knowledge of DataOps and MLOps methodologies and best practices.