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

Sedgwick; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-prem and cloud environments. The role focuses on Snowflake data platform, data modeling, and supporting AI-enabled data workflows.

You will guide cross-functional teams, mentor a data engineer, and drive best practices in CI/CD, security, and governance within a hybrid data landscape.

Qualifications

• Five or more years of dedicated data engineering experience with production pipelines.
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Responsibilities

• Designs, builds, and maintains scalable data pipelines (batch, real-time, event-driven).
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Skills

Data engineering

Snowflake architecture

Python

SQL

dbt

Azure Functions

Azure Data Factory

Stream Analytics

CI/CD

Leadership

Education

Bachelor’s degree in CS/IS/Data Eng

Equivalent combo of education/certs

Tools

Snowflake

dbt

Azure Data Factory

Azure Functions

Stream Analytics

AWS data tools

Azure Cortex/Semantic Layer

Job description

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-prem and cloud environments. The role focuses on Snowflake data platform, data modeling, and supporting AI-enabled data workflows.

You will guide cross-functional teams, mentor a data engineer, and drive best practices in CI/CD, security, and governance within a hybrid data landscape.