Senior Data Engineer: Snowflake & Cloud Pipelines Lead

Sedgwick; Clayton (MO); On-site; USD 111,000 - 200,000; Full time

Benefits offered by this job

Medical benefits

401k matching

PTO

Job summary

Sedgwick is seeking a Sr. Data Engineer to design and maintain scalable data pipelines across on-prem and cloud environments, with emphasis on Snowflake and dbt AI features. The role includes shaping semantic models and guiding engineers in best practices.

The ideal candidate has extensive Snowflake experience, strong Python/SQL skills, and a track record of implementing CI/CD patterns across data platforms. Sedgwick values collaboration and data-driven decision making.

Qualifications

• Bachelor’s degree in computer science, information systems, data engineering, or related field preferred.
• Equivalent combination of education, professional certifications, and relevant work experience will be considered.

Responsibilities

• Designs, builds, and maintains scalable data pipelines for batch, real-time streaming, and event-driven movement.
• Develops and optimizes Snowflake data platform performance and structures.
• Architects transformation pipelines delivering high-quality data to Snowflake and dbt AI features.
• Maintains semantic layers and metadata models for Self-Service 2.0 interfaces.
• Creates reference architectures, templates, and CI/CD practices for decentralized teams.

Skills

Snowflake architecture

dbt Semantic Layer

Python

SQL

Azure Functions

CI/CD

AWS data services

Education

Bachelor’s degree in CS/IS/Data Engineering

Equivalent combination of education/certs

Tools

Azure Data Factory

dbt

Snowflake

Job description

Sedgwick is seeking a Sr. Data Engineer to design and maintain scalable data pipelines across on-prem and cloud environments, with emphasis on Snowflake and dbt AI features. The role includes shaping semantic models and guiding engineers in best practices.

The ideal candidate has extensive Snowflake experience, strong Python/SQL skills, and a track record of implementing CI/CD patterns across data platforms. Sedgwick values collaboration and data-driven decision making.