Gen AI Data Engineer – Production Pipelines & MLOps

Sedgwick Claims Management Services Inc.; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Sedgwick seeks a Gen AI Engineer to architect and deliver enterprise data pipelines, bridging on‑premise systems with Snowflake, AWS, and Azure. You’ll build production‑grade ETL/ELT workflows, feature stores, and scalable data solutions for AI initiatives.

The role requires expert Snowflake, Python, SQL, and PySpark skills, plus strong cloud data orchestration with Airflow and related services. Collaboration with IT, security, and data science teams is essential.

Qualifications

• Master’s degree in Computer Science, Data Engineering, or a related field.
• Six years of hands-on data engineering experience in multi-cloud environments.
• Proficiency in Snowflake, AWS, Azure, Python, SQL, and PySpark.
• Experience building production-grade ETL/ELT pipelines.
• Ability to work with legacy data sources and modern cloud tech.

Responsibilities

• Designs, builds, and maintains ETL/ELT pipelines from on-prem to cloud.
• Develops feature stores and analytics datasets.
• Instruments data quality, observability, and governance.
• Leads data modeling and Snowflake optimization.
• Collaborates across IT, security, and data teams.

Skills

Snowflake architecture

Python

SQL

PySpark

Docker

Airflow

Data orchestration

Education

Master's degree in Computer Science or Data Engineering

Tools

Snowflake

AWS

Azure

Airflow

Snowpipe

Data Factory

Synapse

Job description

Sedgwick seeks a Gen AI Engineer to architect and deliver enterprise data pipelines, bridging on‑premise systems with Snowflake, AWS, and Azure. You’ll build production‑grade ETL/ELT workflows, feature stores, and scalable data solutions for AI initiatives.

The role requires expert Snowflake, Python, SQL, and PySpark skills, plus strong cloud data orchestration with Airflow and related services. Collaboration with IT, security, and data science teams is essential.