Remote Senior Data Engineer | Snowflake & AI Pipelines Lead

Sedgwick

Miami (FL)

A distancia

USD 120.000 - 180.000

Jornada completa

Hace 6 días
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Descripción de la vacante

Sedgwick is seeking a Senior Data Engineer to design, build, and scale data pipelines across on-premises and cloud sources. You will be a core developer for the Snowflake data platform and mentor a data engineer on the team.

You will drive dbt adoption, work with Azure data tools, and help shape semantic layers for AI-driven insights. This role emphasizes collaboration, governance, and delivering reliable data products to empower analysts and business partners.

Formación

  • 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, including on-premises to cloud, using batch, streaming, and event-driven patterns.
  • Experience building or maintaining semantic layers for downstream AI/LLM or NLP search capabilities.

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 to optimize data flow.

Conocimientos

Python
SQL
Data pipelines
Mentorship
Communication
Problem solving

Educación

Bachelor's degree in computer science or related field

Herramientas

Snowflake
dbt
Azure Data Factory
Azure Functions
AWS

Descripción del empleo

Sedgwick is seeking a Senior Data Engineer to design, build, and scale data pipelines across on-premises and cloud sources. You will be a core developer for the Snowflake data platform and mentor a data engineer on the team.

You will drive dbt adoption, work with Azure data tools, and help shape semantic layers for AI-driven insights. This role emphasizes collaboration, governance, and delivering reliable data products to empower analysts and business partners.

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