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Data Engineer, AI
SedgwickSenior Data Engineer at Sedgwick designing and implementing ETL pipelines for AI. Collaborating with Data Science teams to ensure data integrity and availability for advanced analytics.
Posted 6/12/2026full-timeRemote • Idaho, Louisiana, New York, Tennessee • 🇺🇸 United StatesMid-LevelSeniorWebsite
ATS Keywords
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Hard Skills
ETLELTdata pipelinesSnowflakeAWSAzurePythonSQLPySparkdata engineering
Soft Skills
technical leadcollaborationproblem-solvingefficiencyget-it-done attitude
Tools & Technologies
AirflowStep FunctionsAzure Data FactoryS3GlueLambdaSynapseFeature Storesobservability layersdata stack
Industry Keywords
Generative AIMLOpsdata workflowsdata needs for Machine Learningon-premise SQLMainframe extractsflat files
Tech Stack
Tools & technologiesAirflowAWSAzureETLPySparkPythonSQL
About the role
Key responsibilities & impact- Design and implement robust ETL/ELT pipelines
- Build and maintain Feature Stores and specialized datasets
- Develop the data pipelines required for Generative AI
- Act as the technical lead for our Snowflake data warehouse
- Manage complex, cross-platform data workflows using Airflow, Step Functions, or Azure Data Factory
- Partner directly with central IT, Database Administrators, and Security teams
- Implement automated validation and observability layers
- Drive the efficiency of our data stack by optimizing storage
- Work as a dedicated engineering partner to MLOps and Data Science teams
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Engineering, or a related field is required
- 6+ years of hands-on data engineering experience
- Expert-level proficiency in Snowflake architecture
- Advanced, hands-on knowledge of AWS (S3, Glue, Lambda) and Azure (Data Factory, Synapse)
- Mastery of Python, SQL, and PySpark
- Proven ability to interface with "old world" tech (on-premise SQL, Mainframe extracts, flat files)
- A strong understanding of the specific data needs for Machine Learning and Generative AI
- A "get-it-done" attitude
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities