Senior Data Engineer

Description: Build and manage the internal data platform to analyze product usage, revenue, and customer service costs. Collaborate with analytics engineers and data scientists to define datasets for reporting and AI tools. Requirements: Experience in building and operating production data pipelines. Strong SQL and Python skills, including testing and maintainable software design. Familiarity with Snowflake or similar data warehouses, including performance tuning. Experience with workflow orchestration tools like Airflow and dbt. Understanding of data modeling, incremental processing, and data-quality testing. Ability to trace data discrepancies and resolve issues. Benefits: Private Health Insurance Gym Reimbursement Commuter Benefits Flexible Time Off In-Office Group Meals Learning & Development Stipend Company Sponsored Conferences & Events Books & Audiobook subscription with Bookster