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Metro location and broad common tech stack (Snowflake, dbt, Python) drive moderate competition.
Core data engineering skills are highly transferable across industries.
Explicit 7+ years requirement plus specific cloud, warehouse, and tooling requirements makes filters stringent.
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Drive the architectural design, development, and implementation of scalable, high-performance data platforms and solutions.
Lead hands-on development and engineering tasks to build new data systems ensuring reliability and scalability.
Set coding standards, conduct code reviews, and mentor other engineers to improve data engineering practices across the organization.
7+ years of data engineering experience.
Degree in a related field.
Proficiency with AWS, dbt, Snowflake, Git, R, Python, SQL, SQL Server.
Work Experience Required: 7+ years in data engineering.
Experienced in shaping strategic data engineering vision and influencing technology stack decisions.
Strong at balancing hands-on technical execution with mentorship and cross-team collaboration.
Familiarity with agile methodologies and aligning data initiatives closely with business objectives.