Senior Data Engineer: Snowflake & Data Pipelines Lead

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

Benefits offered by this job

Medical, dental, vision

401(k) with matching

PTO and paid holidays

Job summary

Sedgwick is seeking a Senior Data Engineer to design and manage scalable data pipelines across on-premises and cloud environments. You will work with Snowflake, dbt AI features, and semantic layers to unlock AI-ready data and self-service capabilities for the organization.

The role requires 5+ years of data engineering experience, strong Snowflake expertise, and hands-on experience with Azure data tools. A leadership component includes mentoring a data engineer and guiding analysts in best

Qualifications

• 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.
• 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 expertise

Python

SQL

Azure Functions

Data pipelines

CI/CD

Leadership

Education

Bachelor's degree in computer science or related field

Tools

Snowflake

Azure Data Factory

Azure Functions

Stream Analytics

dbt

Job description

Sedgwick is seeking a Senior Data Engineer to design and manage scalable data pipelines across on-premises and cloud environments. You will work with Snowflake, dbt AI features, and semantic layers to unlock AI-ready data and self-service capabilities for the organization.

The role requires 5+ years of data engineering experience, strong Snowflake expertise, and hands-on experience with Azure data tools. A leadership component includes mentoring a data engineer and guiding analysts in best