The Consultant, Data Engineer will design, develop, test, and implement scalable ETL/ELT data integration pipelines to acquire and centralize diverse, high-volume datasets from multiple source systems into cloud data warehouses and data marts. The role uses Snowflake and AWS to store, process, and optimize large-scale analytical computations and complex data assets. The position performs logical and physical dimensional data modeling, data profiling, and data quality analysis to architect target database schemas, including Star and Snowflake schemas, and define data load strategies. It also develops automated workflows, system alerts, and scripting solutions; architects and implements CI/CD pipelines using enterprise automation software and orchestration frameworks; and conducts proof-of-concept evaluations of emerging data tools, frameworks, and cloud technologies to assess feasibility and support platform modernization. The role regularly and consistently demonstrates Nationwide Values. The work environment is hybrid in a normal office environment. The position is exempt and not eligible for overtime.
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Job Type
Full-time
Career Level
Senior