Senior Data Engineer — Snowflake, dbt & Data Platforms

Sedgwick; Nevada; On-site; USD 130,000 - 170,000; Full time

Job summary

Sedgwick is hiring a Senior Data Engineer to design, build, and maintain scalable data pipelines from on-premises to cloud sources, leveraging Snowflake, dbt, and related tools. You will architect semantic layers and reference templates to empower cross-functional teams with reliable data assets.

You will mentor one data engineer and collaborate with analytics, security, and platform teams to ensure robust data governance and scalable data product delivery.

Qualifications

• Bachelor’s degree in computer science, information systems, data engineering, or a related field preferred.
• Equivalent combination of education, certifications, and relevant work experience will be considered.
• Five (5)+ years of dedicated data engineering experience building production-grade data pipelines.
• Advanced hands-on experience with Snowflake architecture, performance tuning, and data sharing.

Responsibilities

• Designs, builds, and maintains scalable data pipelines for batch, real-time streaming, and event-driven data movement from on-premises and cloud sources.
• Core developer for the Snowflake data platform, supporting performance, data modeling, and storage structures.
• Architects transformation pipelines delivering high-quality inputs to Snowflake and dbt AI features.
• Designs semantic layers and metadata models to support Self-Service 2.0 natural-language interfaces.
• Establishes reference architectures, reusable templates, and CI/CD practices for decentralized teams.
• Provides direct management and mentorship to one data engineer, with potential for team growth.
• Drives adoption of dbt for data transformation and evaluates Azure/AWS data tools to optimize data flow.

Skills

Python

SQL

Snowflake

dbt

Azure Functions

Data pipelines

Data modeling

Cloud environments

CI/CD

Education

Bachelor's degree in computer science, information systems, data engineering, or related field

Tools

Azure Data Factory

Azure Functions

Stream Analytics

dbt

AWS data services

Job description

Sedgwick is hiring a Senior Data Engineer to design, build, and maintain scalable data pipelines from on-premises to cloud sources, leveraging Snowflake, dbt, and related tools. You will architect semantic layers and reference templates to empower cross-functional teams with reliable data assets.

You will mentor one data engineer and collaborate with analytics, security, and platform teams to ensure robust data governance and scalable data product delivery.