Senior Data Engineer — Remote Data Pipelines & Snowflake

Sedgwick; Santa Fe (NM); Remote; USD 140,000 - 170,000; Full time

Job summary

Sedgwick is seeking a Sr. Data Engineer in a telecommuter-friendly role to design, build, and maintain scalable data pipelines across batch, streaming, and event-driven patterns.

You will work with Snowflake, dbt, and cloud-native tools while supporting on-prem and cloud data movements. Ideal candidates have 5+ years of data engineering experience, deep Snowflake expertise, and hands-on Azure/AWS data tooling knowledge.

Qualifications

• Five (5)+ years of dedicated data engineering experience 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 for AI/NLP or LLM applications.

Responsibilities

• Designs, builds, and maintains scalable data pipelines for batch, real-time streaming, and event-driven movement.
• Core developer for Snowflake data platform; supports performance, modeling, and storage structures.
• Architects and builds transformation pipelines delivering high-quality data inputs to Snowflake/dbt AI features.
• Designs and maintains semantic layers and metadata models for Self-Service 2.0 interfaces.
• Establishes reference architectures, templates, and CI/CD practices for decentralized teams.
• Provides management and mentorship to one data engineer and guides analysts in engineering practices.
• Drives dbt adoption and evaluates Azure/AWS data tools to optimize data flow.

Skills

Snowflake architecture

Python

SQL

dbt

Azure data tools

Data pipelines

Education

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

Tools

Snowflake

dbt

Azure Data Factory

Azure Functions

Stream Analytics

AWS data services

Job description

Sedgwick is seeking a Sr. Data Engineer in a telecommuter-friendly role to design, build, and maintain scalable data pipelines across batch, streaming, and event-driven patterns.

You will work with Snowflake, dbt, and cloud-native tools while supporting on-prem and cloud data movements. Ideal candidates have 5+ years of data engineering experience, deep Snowflake expertise, and hands-on Azure/AWS data tooling knowledge.