Design, build, and maintain scalable data pipelines for analytics and ops.
Develop and optimize ETL/ELT pipelines from multiple sources.
Integrate pipelines into cloud-native apps with backend engineers.
Manage and optimize cloud data warehouses, primarily BigQuery.
Implement data governance, security, and privacy practices.
Collaborate with analytics teams to define data models and enable self-service BI.

🎯 Requirements

Certified SnowPro.
5+ years data engineering experience.
Snowflake expertise: performance tuning, security, data modeling.
Advanced SQL for analytics engineering.
Python for data processing and orchestration.
Experience with dbt or similar analytics frameworks.

🎁 Benefits

AI & strategic upskilling with training budgets.
Generous vacation and flexible PTO.
Flexible extended health and dental plan options.
Remote, in-office, or blended work arrangements.
Inclusive culture and DEI commitment.

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