Data Engineer

We are seeking experienced Data Engineers to support a high-impact data modernization initiative. The ideal candidate will be responsible for building and maintaining scalable data pipelines and foundational components of Datawarehouse. This role requires strong technical expertise, the ability to work independently, and collaboration with client teams. Compensation Data Engineer: 10+ years exp - $140-$160k (4 positions) Senior Data Engineer: 15+ years exp - $180k (1 position) Key Responsibilities Design, develop, and maintain robust data pipelines aligned with medallion architecture principles. Source and integrate data from diverse systems including Oracle, MSSQL, MarkLogic, SAS, DB2, and Mainframe. Collaborate with client stakeholders to gather requirements and deliver solutions independently or as part of a team. Ensure data quality, consistency, and reliability across ingestion and transformation processes. Participate in code reviews, performance tuning, and documentation of data workflows. Required Skills & Qualifications 10+ years of hands‑on experience in Data Engineering. Proficiency in building data pipelines using AWS, Snowflake, and Flexter. Strong knowledge of ETL processes and data integration from multiple sources. Familiarity with medallion architecture and modern data lakehouse concepts. Experience with scripting and programming languages such as Python and SQL. Understanding of MDM and reference data management concepts. Excellent communication and problem‑solving skills. Insurance domain experience is a plus but not mandatory. #J-18808-Ljbffr