Senior Data Engineer Snowflake & Azure Warehouse Expert

Madison-Davis

United States

Remote

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

Madison-Davis, LLC is seeking a Senior Data Engineer to design and optimize enterprise data solutions using Snowflake and Azure. You will build data warehouses, pipelines, and data models while ensuring reliability and governance across complex health-care related datasets.

You will collaborate with analysts and stakeholders to deliver well-governed data, implement security and CI/CD practices, and drive scalable data processing across enterprise systems.

Qualifications

  • 10+ years of production data engineering experience.
  • Deep Snowflake engineering expertise.
  • Strong SQL development and performance tuning.
  • Enterprise ETL/ELT pipeline experience.
  • Hands-on Azure data services.
  • Data modeling and cloud warehouse architecture experience.
  • Production reliability, data quality, and governance expertise.
  • Git, CI/CD, and collaborative engineering experience.

Responsibilities

  • Design, build, and optimize Snowflake-based data warehouses.
  • Develop and maintain Azure-based data ingestion and transformation pipelines.
  • Implement incremental processing, automated loading, and scalable transforms.
  • Design dimensional models and layered warehouse architectures.
  • Improve SQL performance, cost efficiency, and reliability.
  • Monitor pipelines, troubleshoot production issues, and ensure data quality.
  • Implement data security, access controls, and recovery practices.
  • Collaborate with engineers and stakeholders on data requirements and delivery.

Skills

Snowflake engineering
Azure data services
Advanced SQL
ETL/ELT pipelines
Data modeling
Git & CI/CD
Collaboration & comms

Tools

Azure Data Factory
CI/CD tooling

Job description

Madison-Davis, LLC is seeking a Senior Data Engineer to design and optimize enterprise data solutions using Snowflake and Azure. You will build data warehouses, pipelines, and data models while ensuring reliability and governance across complex health-care related datasets.

You will collaborate with analysts and stakeholders to deliver well-governed data, implement security and CI/CD practices, and drive scalable data processing across enterprise systems.

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