Senior Data Engineer — Snowflake & Data Platform Lead

Sedgwick; Louisiana; On-site; USD 120,000 - 180,000; Full time

Job summary

Sedgwick is seeking a Sr. Data Engineer to design and maintain scalable data pipelines for batch, real-time streaming, and event-driven data across on-premises and cloud sources. You will be a core Snowflake developer, handling data modeling, performance, and storage considerations.

The role involves building semantic layers to support AI, self-service NL interfaces, and reusable CI/CD templates, while mentoring a data engineer and guiding analysts in best practices.

Qualifications

• Bachelor's degree in computer science, information systems, data engineering, or related field.
• Five or more years of dedicated data engineering experience.
• Advanced hands-on Snowflake architecture, performance tuning, and data sharing.
• Experience moving data across hybrid environments (on-prem to cloud).
• Experience building semantic layers for AI or NLP capabilities.

Responsibilities

• Designs, builds, and maintains scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-premises and cloud sources.
• Serves as a 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.
• Provides direct management and career mentorship to one data engineer, with potential for team growth, and guides decentralized data analysts in maturing their engineering practices.
• Drives adoption of dbt for data transformation and evaluates the integration of AWS and Azure cloud data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, to optimize data flow.

Skills

Snowflake architecture

Python

SQL proficiency

dbt

Azure Functions

Cloud data pipelines

Team mentorship

Education

Bachelor's degree in computer science or related field

Tools

Azure Data Factory

dbt

Snowflake

Azure Functions

Stream Analytics

AWS data tools

Job description

Sedgwick is seeking a Sr. Data Engineer to design and maintain scalable data pipelines for batch, real-time streaming, and event-driven data across on-premises and cloud sources. You will be a core Snowflake developer, handling data modeling, performance, and storage considerations.

The role involves building semantic layers to support AI, self-service NL interfaces, and reusable CI/CD templates, while mentoring a data engineer and guiding analysts in best practices.