Senior Data Engineer - Snowflake & dbt Pipelines

Sedgwick

Texas

On-site

USD 111,000 - 200,000

Full time

5 days ago
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Benefits offered by this job

Medical, dental, vision
401(k) with matching
Paid time off

Job summary

Sedgwick is hiring a Senior Data Engineer in Texas to design and maintain scalable data pipelines across on-premises and cloud environments. You’ll work as a core Snowflake developer, optimize data modeling, and enable AI‑driven insights with dbt and semantic layers.

You will coach a data engineer and collaborate with analysts, driving CI/CD best practices and cloud tool integrations to improve data flow and governance.

Qualifications

  • Bachelor’s degree in computer science, information systems, data engineering, or related field preferred.
  • Five or more years of dedicated data engineering experience building production-grade pipelines.
  • Advanced hands-on Snowflake architecture, performance tuning, and data sharing.

Responsibilities

  • Designs, builds, and maintains scalable data pipelines for batch, real-time streaming, and event-driven movement.
  • Core developer for Snowflake platform; support performance, modeling, and storage structures.
  • Architect transformation pipelines delivering high-quality inputs to Snowflake and dbt AI features.
  • Develop semantic layers and metadata models for Self-Service 2.0 NLP interfaces.
  • Establish reference architectures, templates, and CI/CD practices for cross‑functional teams.

Skills

Data engineering
Python
SQL
Data pipelines
Cloud architectures
Leadership
Communication

Education

Bachelor’s degree in computer science or related field

Tools

Snowflake
dbt
Azure Data Factory
Azure Functions
Stream Analytics
AWS data services

Job description

Sedgwick is hiring a Senior Data Engineer in Texas to design and maintain scalable data pipelines across on-premises and cloud environments. You’ll work as a core Snowflake developer, optimize data modeling, and enable AI‑driven insights with dbt and semantic layers.

You will coach a data engineer and collaborate with analysts, driving CI/CD best practices and cloud tool integrations to improve data flow and governance.

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