Senior Data Engineer — Snowflake & Real-Time Pipelines

Sedgwick; Michigan; On-site; USD 120,000 - 170,000; Full time

Job summary

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-premises and cloud sources. You will work deeply with Snowflake, data modeling, and semantic layers to support AI and natural-language interfaces.

You will mentor a data engineer, influence CI/CD practices, and drive adoption of dbt and Azure-based tools to optimize data movement and governance. Remote options may be limited by client needs.

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.
• Five (5)+ years of dedicated data engineering experience, with a proven record of building production-grade data pipelines.

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

Python

SQL

Snowflake

Data pipelines

Azure Functions

dbt

Data modeling

ETL/ELT

CI/CD

Big data

Cloud

Analytics

Leadership

Communication

Education

Bachelor's degree in CS/IS/Data Engineering

Equivalent combination of education and experience

Tools

Azure Data Factory

Azure Functions

Stream Analytics

dbt

Snowflake Cortex

AWS data tools

Job description

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-premises and cloud sources. You will work deeply with Snowflake, data modeling, and semantic layers to support AI and natural-language interfaces.

You will mentor a data engineer, influence CI/CD practices, and drive adoption of dbt and Azure-based tools to optimize data movement and governance. Remote options may be limited by client needs.