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Generalist Data Engineer title, metro location, mid-level range, and broad tech stack drive high competition.
Core data engineering skills (ETL, SQL, Python, Snowflake) are highly transferable across industries, so low sensitivity.
Explicit 3+ years requirement plus mandatory Snowflake, Matillion, and BI tools makes filters stringent.
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Partner with application developers to design optimized data models that reduce redundancy and improve enterprise information management.
Create and maintain scalable data pipeline architectures and operational procedures for large data imports.
Engage with business users to develop comprehensive data models supporting enterprise data analytics and informed business decision-making.
Work Experience Required: More than 3 years in data engineering and modeling focused on analytics and reporting.
Bachelor’s degree in Engineering or equivalent required.
Mandatory skills include relational database design, modern data modeling, SQL, data warehousing, Power BI/Tableau, and Snowflake hands-on experience.
Experience with ETL tools like Matillion ETL and knowledge of API integration within ETL processes required; SSIS experience is advantageous.
Experienced in designing and building robust data warehouses and reporting solutions for enterprise environments.
Capable of cross-functional collaboration to continuously improve Enterprise Data Analytics deliverables.
Comfortable leveraging modern data technologies including Python and AI-powered tools for automation and intelligent agent development.