Remote Senior Data Engineer — Snowflake, dbt & Pipelines

Sedgwick

Jackson (MS)

Remote

USD 120,000 - 180,000

Full time

7 days ago
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Job summary

Sedgwick is seeking a Senior Data Engineer to design, build, and maintain large-scale data pipelines across on-premises and cloud environments. You will serve as a core developer for the Snowflake data platform and collaborate with cross-functional teams to optimize data movement and quality.

The role emphasizes transforming data for AI and natural-language interfaces, implementing CI/CD patterns, and mentoring a junior engineer.

Qualifications

  • Bachelor’s degree in computer science, information systems, data engineering, or a related field preferred.
  • Equivalent combination of education, certifications, and experience will be considered.
  • Five+ years of data engineering experience, with production-grade pipelines.

Responsibilities

  • Designs, builds, and maintains scalable data pipelines for batch, real-time streaming, and event-driven data movement across on-prem and cloud.
  • Core developer for Snowflake data platform; supports performance, data modeling, and storage structures.
  • Architects transformation pipelines delivering high-quality inputs to Snowflake and dbt AI features.
  • Maintains semantic layers and metadata models to support Self-Service 2.0 interfaces.
  • Establishes reference architectures, reusable templates, and CI/CD practices for cross-team use.
  • Provides direct management and mentorship to one data engineer, with potential team growth.
  • Drives adoption of dbt and evaluates Azure/AWS tools to optimize data flow.

Skills

Snowflake architecture
Data pipelines
SQL
Python
Azure Functions
Azure Data Factory
dbt
AWS data tools
CI/CD
Data modeling
Semantic layers
Team mentorship

Education

Bachelor’s degree in computer science or related field

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 maintain large-scale data pipelines across on-premises and cloud environments. You will serve as a core developer for the Snowflake data platform and collaborate with cross-functional teams to optimize data movement and quality.

The role emphasizes transforming data for AI and natural-language interfaces, implementing CI/CD patterns, and mentoring a junior engineer.

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