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Tier-2 brand, mid-level Data Engineer title, metro location, and common stack drive high applicant competition.
Data engineering tools and skills like Snowflake, dbt, SQL and Python are highly transferable across industries.
Mandatory 2+ years and specific Fivetran/dbt/Snowflake/Azure stack create strict technical filtering.
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Design, develop, and maintain data pipelines using Fivetran, dbt and Snowflake data warehouse.
Collaborate with cross-functional teams including data science and analytics to ensure data accuracy, reliability, accessibility, and security.
Participate in code reviews, troubleshooting, optimizing pipeline performance, and maintaining process documentation.
Bachelor's degree in Computer Science, Information Technology, or related field.
2+ years of experience in data engineering or related field.
Strong experience with Fivetran, dbt, Snowflake, SQL, and programming languages such as Python or JavaScript.
Experience with cloud-based data platforms preferably Microsoft Azure.
Experienced in implementing and maintaining Snowflake data warehouses and migrating from SQL Server to Snowflake (plus).
Able to work collaboratively across teams on data-driven solutions and maintain data security protocols.
Capable of troubleshooting, optimizing data pipelines and contributing to engineering best practices.