To support a long-term contract with a Big 4 consulting firm, the remote Data Engineer will develop, maintain, and optimize enterprise data pipelines and ETL processes, ensuring high-quality data flows for clinical, operational, financial, and health plan analytics, with occasional travel to Albuquerque, NM. Key Responsibilities Develop, maintain, and optimize SQL-based ETL processes and data transformations across various platforms including DB2 and AWS Define enterprise data engineering architecture and technology standards while ensuring reliable data integration workflows Monitor pipeline health, resolve data quality issues, and support environment management for production readiness Required Qualifications Bachelor's Degree in Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field 8+ years of data engineering experience with expertise in enterprise ETL/ELT architecture and pipeline design Expert-level SQL proficiency in IBM DB2 and SQL Server, including complex schema design and query optimization Deep expertise in IBM DataStage, including architecture and performance tuning Proven AWS data engineering experience in production environments, including S3, Glue, and Redshift