Senior Data Engineer - Remote, Snowflake & Data Pipelines

Sedgwick; Orlando (FL); Remote; USD 120,000 - 180,000; Full time

Job summary

Sedgwick invites applications for a Senior Data Engineer to design, build, and optimize scalable data pipelines across on-prem and cloud environments. You will work with Snowflake, dbt, and Azure tools to enable robust data sharing and AI-ready data models.

The role emphasizes leadership, mentoring a junior engineer, and collaborating with cross-functional teams to ensure data quality and governance while advancing analytics capabilities across the organization.

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 (on-prem to cloud) using batch, streaming, and event-driven patterns.
• Experience building or maintaining semantic layers and structuring data for downstream AI, LLM, 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 to optimize data flow.

Skills

Snowflake architecture

Python

SQL

dbt

Azure Functions

Data modeling

Data pipelines

Semantic layers

Education

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

Tools

Snowflake

dbt

Azure Data Factory

Azure Functions

Stream Analytics

Job description

Sedgwick invites applications for a Senior Data Engineer to design, build, and optimize scalable data pipelines across on-prem and cloud environments. You will work with Snowflake, dbt, and Azure tools to enable robust data sharing and AI-ready data models.

The role emphasizes leadership, mentoring a junior engineer, and collaborating with cross-functional teams to ensure data quality and governance while advancing analytics capabilities across the organization.