Senior Data Engineer: Snowflake & Data Platform Lead

Sedgwick Claims Management Services Ltd; Northern (KY); Remote; USD 120,000 - 150,000; Full time

Job summary

Sedgwick is hiring a Senior Data Engineer to design, build, and maintain scalable data pipelines that support batch, real-time streaming, and event-driven data movement across on-premises and cloud sources. The role focuses on Snowflake architecture, data modeling, and semantic layers to support AI-enabled features.

The position requires Python, SQL, and dbt experience, plus collaboration across teams to establish governance and scalable patterns.

Qualifications

• Bachelor’s degree in computer science, information systems, data engineering, or a related field preferred (equivalent experience considered).
• 5+ years of dedicated data engineering experience building production-grade data pipelines.

Responsibilities

• Designs, builds, and maintains scalable data pipelines for batch, real-time streaming, and event-driven data movement.
• Core developer for Snowflake data platform, supporting performance, modeling, and storage structures.
• Architects and builds transformation pipelines delivering high-quality inputs to Snowflake and dbt AI features.

Skills

Snowflake

Python

SQL

dbt

Azure Functions

Stream Analytics

Education

Bachelor's degree in computer science / information systems / data engineering

Tools

Azure Data Factory

Snowflake Cortex / Semantic Layer

Azure Data Factory

Job description

Sedgwick is hiring a Senior Data Engineer to design, build, and maintain scalable data pipelines that support batch, real-time streaming, and event-driven data movement across on-premises and cloud sources. The role focuses on Snowflake architecture, data modeling, and semantic layers to support AI-enabled features.

The position requires Python, SQL, and dbt experience, plus collaboration across teams to establish governance and scalable patterns.