Senior Data Engineer: Snowflake, Streaming & AI Pipelines

Sedgwick; Lake Michigan Beach (MI); On-site; USD 111,000 - 200,000; Full time

Benefits offered by this job

Medical benefits

401k with company match

Paid time off

Job summary

Sedgwick is recruiting a Sr. Data Engineer to design, build, and optimize data pipelines for batch and real-time data movement across on-premises and cloud environments. You will work as a core Snowflake developer, shaping data modeling, storage structures, and transformation pipelines.

The role emphasizes semantic layers to support AI features, scalable architecture, and CI/CD practices, with mentorship responsibilities for a junior engineer and collaboration across teams.

Qualifications

• Five (5)+ years of dedicated data engineering experience, with a proven record of building production-grade data pipelines.
• Advanced hands‑on experience with Snowflake architecture, performance tuning, and data sharing.
• Experience moving data across hybrid environments, including on-premises to cloud, using batch, streaming, and event‑driven patterns.
• Experience building or maintaining semantic layers and structuring data for downstream AI, large language model, or natural-language search capabilities.

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

Leadership

Communication

Problem solving

Data modeling

Cross-functional

Education

Bachelor's degree in CS

Tools

Snowflake

dbt

Azure Data Factory

Azure Functions

Stream Analytics

AWS data

Job description

Sedgwick is recruiting a Sr. Data Engineer to design, build, and optimize data pipelines for batch and real-time data movement across on-premises and cloud environments. You will work as a core Snowflake developer, shaping data modeling, storage structures, and transformation pipelines.

The role emphasizes semantic layers to support AI features, scalable architecture, and CI/CD practices, with mentorship responsibilities for a junior engineer and collaboration across teams.