Data Engineer, AI

Sedgwick

Senior 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

Tech Stack

Tools & technologies

AirflowAWSAzureETLPySparkPythonSQL

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

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLELTdata pipelinesSnowflakeAWSAzurePythonSQLPySparkdata engineering

Soft Skills

technical leadcollaborationproblem-solvingefficiencyget-it-done attitude