Senior Data Engineer: Snowflake, dbt & Real-Time Pipelines

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k with matching

PTO (paid time off)

Disability insurance

Life insurance

Employee assistance program

Flexible spending account

Job summary

Sedgwick is seeking a Sr. Data Engineer in Michigan to design, build, and maintain scalable data pipelines across on-prem and cloud sources. You will be a core Snowflake developer, responsible for data modeling, performance tuning, and secure data sharing.

You will architect transformation pipelines delivering high-quality inputs to Snowflake, and design semantic layers for Self-Service 2.0 AI interfaces while promoting CI/CD best practices across decentralized teams.

Qualifications

• Bachelor’s degree in computer science, information systems, data engineering, or a related field from an accredited college or university preferred.
• 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.

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

dbt

Azure Functions

Azure Data Factory

Stream Analytics

Data pipelines

CI/CD

Leadership

Education

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

Tools

Snowflake

dbt

Azure Data Factory

Azure Functions

Stream Analytics

Job description

Sedgwick is seeking a Sr. Data Engineer in Michigan to design, build, and maintain scalable data pipelines across on-prem and cloud sources. You will be a core Snowflake developer, responsible for data modeling, performance tuning, and secure data sharing.

You will architect transformation pipelines delivering high-quality inputs to Snowflake, and design semantic layers for Self-Service 2.0 AI interfaces while promoting CI/CD best practices across decentralized teams.