Remote Data Engineer: Azure, Snowflake & dbt Pipelines

USI Insurance Services

United States

Remote

USD 110,000 - 125,000

Full time

14 days+

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Job summary

USI is seeking a data engineering professional to design and develop scalable data pipelines. You will work with Azure Data Factory, dbt, and Snowflake to ingest and transform data for multiple teams and products.

You will collaborate with data scientists, analysts, and stakeholders to define schemas, optimize queries, and ensure reliable data delivery while following security standards.

Qualifications

  • 5+ years of SQL programming, data modeling, and data warehousing experience.
  • Bachelor’s degree in a relevant field.
  • Experience building data pipelines using Azure Data Factory and dbt.
  • Familiarity with Snowflake and SQL ETL/ELT patterns.

Responsibilities

  • Participate in the design, development, and maintenance of Azure Data Factory and dbt pipelines.
  • Move data from multiple systems into Snowflake using ELT techniques.
  • Develop SSIS/T-SQL processes and ETL pipelines.
  • Collaborate with stakeholders to define tables, views, and schemas for data products.
  • Design and optimize data models for performance in Snowflake.
  • Monitor pipelines and troubleshoot data movement issues.
  • Ensure data availability, integrity, and security.

Skills

SQL programming
Data architecture concepts
Data warehousing
Scrum agile processes
Azure DevOps
Azure Data Factory
Snowflake
dbt
Git and CI/CD

Education

Bachelor’s degree in computer science, information systems, statistics, or related field

Tools

Azure Data Factory
dbt
SSIS
T-SQL
Snowflake
Git
CI/CD tooling

Job description

USI is seeking a data engineering professional to design and develop scalable data pipelines. You will work with Azure Data Factory, dbt, and Snowflake to ingest and transform data for multiple teams and products.

You will collaborate with data scientists, analysts, and stakeholders to define schemas, optimize queries, and ensure reliable data delivery while following security standards.

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