Senior Data Engineer: Snowflake, dbt & Real-Time Pipelines

Sedgwick; Texas; On-site; USD 111,000 - 200,000; Full time

Job summary

Sedgwick is seeking a Sr. Data Engineer to design and maintain scalable data pipelines, focusing on Snowflake, dbt, and AI-ready data models. You will lead data architecture, collaborate with cross-functional teams, and mentor one engineer with potential team growth.

Ideal candidates have 5+ years in data engineering, strong Python and SQL skills, and experience across on-premises to cloud migrations. Expect a role with meaningful work and growth opportunities within Sedgwick's data organization.

Qualifications

• Bachelor's degree in computer science, information systems, data engineering, or a related field from an accredited college or university preferred.
• Five (5)+ years of dedicated data engineering experience, with a proven record of building production-grade data pipelines, required.
• Advanced hands-on experience with Snowflake architecture, performance tuning, and data sharing required.
• Experience moving data across hybrid environments, including on-premises to cloud, using batch, streaming, and event-driven patterns required.
• Experience building or maintaining semantic layers and structuring data for downstream AI, large language model, or natural-language search capabilities preferred.

Responsibilities

• Designs, builds, and maintains scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-premises and cloud sources.
• Core developer for the Snowflake data platform and supports platform performance, data modeling, and storage structures.
• Architects and builds transformation pipelines that deliver high-quality data inputs to Snowflake and dbt AI features.
• Designs and maintains semantic layers and metadata models required to support Self-Service 2.0 natural-language user interfaces.
• Establishes reference architectures, reusable templates, and CI/CD best practices that enable decentralized line-of-business teams to build data products safely and consistently.

Skills

Python

SQL

Data pipelines

dbt

Snowflake

Azure

Leadership

Mentorship

Cloud data tools

Problem solving

Communication

Education

Bachelor's degree in CS/IS/Data Eng

Tools

Snowflake

dbt

Azure Data Factory

Azure Functions

Stream Analytics

AWS data tools

Job description

Sedgwick is seeking a Sr. Data Engineer to design and maintain scalable data pipelines, focusing on Snowflake, dbt, and AI-ready data models. You will lead data architecture, collaborate with cross-functional teams, and mentor one engineer with potential team growth.

Ideal candidates have 5+ years in data engineering, strong Python and SQL skills, and experience across on-premises to cloud migrations. Expect a role with meaningful work and growth opportunities within Sedgwick's data organization.