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

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

Benefits offered by this job

Medical, dental, vision benefits

401k with matching

Paid time off

Job summary

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines for batch, real-time streaming, and event-driven movement from on-premises to cloud.

You’ll be a core Snowflake developer, shaping data modeling and storage structures to support reliable data products. You will design semantic layers and metadata models, implement CI/CD practices, and mentor a data engineer while guiding analysts.

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.
• Experience building or maintaining semantic layers and structuring data for downstream AI, large language model, or natural-language search capabilities preferred.

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

Data engineering

Python

SQL

Leadership

Analytical thinking

Communication

Cross-functional collaboration

Education

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

Tools

Snowflake

dbt

Azure Functions

Azure Data Factory

Stream Analytics

Snowflake Cortex

dbt Semantic Layer

AWS data ecosystem

Job description

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines for batch, real-time streaming, and event-driven movement from on-premises to cloud.

You’ll be a core Snowflake developer, shaping data modeling and storage structures to support reliable data products. You will design semantic layers and metadata models, implement CI/CD practices, and mentor a data engineer while guiding analysts.