Senior Data Engineer: Snowflake, dbt & Cloud Pipelines

Sedgwick; Idaho; Presencial; USD 111.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical and dental benefits

401(k) with company match

Paid time off

Descripción de la vacante

Sedgwick is seeking a Sr. Data Engineer in the United States (Idaho) to design, build, and optimize scalable data pipelines across batch and real‑time workflows. You will work with Snowflake, dbt, Python, and Azure/AWS tools, mentoring one data engineer and guiding analysts in engineering practices.

You’ll shape semantic layers, reference architectures, and CI/CD templates to empower decentralized teams while maintaining data quality and security across cloud and on‑prem environments.

Formación

• Bachelor’s degree in computer science, information systems, data engineering, or a related field from an accredited college or university preferred.
• Equivalent combination of education, professional certifications, and relevant work experience will be considered.

Responsabilidades

• 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, including Azure Data Factory, Azure Functions, and Stream Analytics, to optimize data flow.

Conocimientos

Python

SQL

Snowflake

dbt

Azure Functions

Azure Data Factory

Real‑time streaming

Data pipelines

Leadership

Educación

Bachelor’s degree in Computer Science / Information Systems / Data Engineering or related field

Equivalent combination of education, certifications, and experience

Herramientas

Snowflake Cortex

dbt Semantic Layer

Azure Tools

AWS data tools

Descripción del empleo

Sedgwick is seeking a Sr. Data Engineer in the United States (Idaho) to design, build, and optimize scalable data pipelines across batch and real‑time workflows. You will work with Snowflake, dbt, Python, and Azure/AWS tools, mentoring one data engineer and guiding analysts in engineering practices.

You’ll shape semantic layers, reference architectures, and CI/CD templates to empower decentralized teams while maintaining data quality and security across cloud and on‑prem environments.