Design, build, and own data pipelines with DBT, Airflow, Snowflake.
Lead data-stack architecture design for Snowflake, Airflow, DBT, AWS.
Collaborate with data science and product teams to prototype and productize data ideas.
Collaborate cross-functionally with product, data science, and engineering leadership.
Participate in code reviews to ensure quality and knowledge sharing.
Mentor teammates and foster continuous learning.

🎯 Requirements

Minimum 5 years of professional software engineering experience.
Bachelor's degree in CS or related field (or equivalent).
4+ years in data engineering with Snowflake, Airflow, DBT, and AWS.
Expertise in Python and SQL for data operations and transformations.
Strong experience with GitHub or GitLab.
Ability to collaborate with analytics and business stakeholders.

🎁 Benefits

Stock-options package
Medical, dental, and vision benefits
401K
Long-term disability
Unlimited PTO
Life insurance

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