Senior Data Engineer: Snowflake & Real-Time Pipelines

Sedgwick

Clayton (MO)

On-site

USD 111,000 - 200,000

Full time

9 days ago

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Benefits offered by this job

Medical, dental, vision
401k with matching
Paid time off
Disability & life insurance
Employee assistance

Job summary

Sedgwick is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines, with strong Snowflake and dbt expertise. You will shape data architecture for AI-ready inputs and empower cross-functional teams through mentorship.

Join a collaborative environment focused on data excellence, cloud integration, and scalable governance to drive trusted insights across lines of business, with ample opportunity for growth.

Qualifications

  • Bachelor’s degree in computer science, information systems, data engineering, or a related field preferred.
  • Five+ 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) with batch, streaming, and event-driven patterns.
  • Experience building or maintaining semantic layers and structuring data for AI or NLP use cases.

Responsibilities

  • Designs, builds, and maintains scalable data pipelines for batch and real-time data movement.
  • Core developer for Snowflake data platform; supports performance, modeling, and storage structures.
  • Architects and builds transformation pipelines delivering high-quality inputs to Snowflake and dbt AI features.
  • Maintains semantic layers and metadata models to support Self-Service 2.0 NL interfaces.
  • Establishes reference architectures, templates, and CI/CD practices enabling decentralized teams.

Skills

Python
SQL
Data modeling
Troubleshooting
Analytical thinking
Mentorship

Education

Bachelor’s degree in CS/IS/Data Engineering
Equivalent combination of education and experience

Tools

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

Job description

Sedgwick is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines, with strong Snowflake and dbt expertise. You will shape data architecture for AI-ready inputs and empower cross-functional teams through mentorship.

Join a collaborative environment focused on data excellence, cloud integration, and scalable governance to drive trusted insights across lines of business, with ample opportunity for growth.

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