About this role
Data Engineer AI at Sedgwick. Location: Tennessee or Idaho or Arkansas or Nebraska or Louisiana or Missouri or Texas or Indiana or Nevada or Kentucky or Mississippi or Florida or South Carolina or West Virginia or New Mexico or North Carolina or Oklahoma or Alabama or Utah or Kansas or Iowa or Pennsylvania or Michigan or Wisconsin or Georgia or Montana or Arizona or North Dakota or Wyoming. Role: designing pipelines, building featurestores, orchestrating workflows Requirements: Bachelor's degree required, 6+ years data engineering experience building production ETL/ELT pipelines for Data Science/AI; expertise in Snowflake, AWS, Azure, Python, SQL, PySpark, and Docker. Category: Data and Analytics Seniority: Senior Level Tools: Snowflake, Snowpipe, AWS S3, AWS RDS, AWS Glue, AWS Lambda, AWS Step Functions, Azure Data Factory, Azure Synapse, Azure Blob, Azure SQL, Microsoft SQL Server, DB2, Airflow, Python, SQL, PySpark, Docker, PrivateLink, IAM Commitment: Full Time Workplace: Remote Languages: English