Remote Senior Data Engineer — Snowflake & AI Pipelines

Sedgwick; Little Rock (AR); Remote; USD 120,000 - 160,000; Full time

Job summary

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-premises and cloud environments. You will be a core Snowflake developer, optimizing data models, performance, and storage structures while enabling AI-ready inputs.

You will mentor a data engineer and collaborate with analysts to mature engineering practices, leveraging dbt, Snowflake, and Azure data tools to improve data flow and governance.

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

Snowflake architecture

Python

SQL

dbt

Azure Data Factory

Azure Functions

Stream Analytics

Data modeling

CI/CD

Analytics

Education

Bachelor's degree

Tools

Snowflake

dbt

Job description

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-premises and cloud environments. You will be a core Snowflake developer, optimizing data models, performance, and storage structures while enabling AI-ready inputs.

You will mentor a data engineer and collaborate with analysts to mature engineering practices, leveraging dbt, Snowflake, and Azure data tools to improve data flow and governance.