Senior Data Engineer - Snowflake & AI Pipelines

Sedgwick; Missoula (MT); 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 sources, with a focus on Snowflake, dbt, and AI-ready data models.

You will act as a core developer for Snowflake, optimize data flows using Azure Data Factory/Functions, and mentor a junior engineer while driving best practices in CI/CD and data governance. Remote US-based role with opportunities for cross-team collaboration.

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.

Skills

Snowflake Architecture

Data Pipelines

Python

SQL

dbt

Azure Functions

Azure Data Factory

Stream Analytics

Education

Bachelor's degree in Computer Science or related

Tools

Snowflake

dbt

Azure Data Factory

Azure Functions

Stream Analytics

AWS Cloud

Job description

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-prem and cloud sources, with a focus on Snowflake, dbt, and AI-ready data models.

You will act as a core developer for Snowflake, optimize data flows using Azure Data Factory/Functions, and mentor a junior engineer while driving best practices in CI/CD and data governance. Remote US-based role with opportunities for cross-team collaboration.