Drive data awareness with accurate insights to support analytics and decision-making.
Design and implement scalable data pipelines.
Maintain ETL processes and data interfaces.
Mentor junior and mid-level data engineers.
Lead agile/scrum delivery and manage high-priority work.
Partner with teams to ensure data governance and security.

🎯 Requirements

Expert-level SQL with complex queries and tuning.
Deep knowledge of Postgres, BigQuery, or MySQL.
Proficient with Airflow, DBT, and Pub/Sub.
Experience with cloud platforms: GCP, AWS, or Azure.
Proficiency in Python, Go, or Java.
7+ years of related data engineering experience.

🎁 Benefits

Paid parental leave, including maternity, paternity, and adoption.
Generous vacation and sick time.
Medical, dental, and vision insurance.
Life insurance equal to 2x annual salary.
Short- and long-term disability coverage.
Generous 401(k) with employer contributions.

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