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Senior Data Engineer role at Fever, the world's leading tech platform for culture and live entertainment. You'll be part of the team responsible for designing and delivering data products that power Fever's partner ecosystem, working with modern data platforms while developing technology to deliver high-quality, reliable, and scalable data products across multiple business domains.
Job Responsibility:
Design and deliver data products that power Fever's partner ecosystem
Deeply understand Fever's backend systems and data models
Develop and optimize ETL/ELT workflows using Python, DBT, Airflow, and Snowflake
Design, build, and maintain partner-facing data products including APIs, dashboards, webhooks, and file-based exports
Ensure data delivered to partners is accurate, consistent, and aligned with business context
Contribute to architecture, testing, and observability of data ecosystem
Support evolution of Fever's data mesh
Requirements:
Bachelor's or Master's degree in Computer Engineering, Data Engineering, or related field
Strong proficiency in Python, SQL, Airflow, and Snowflake (or similar technologies)
Deep understanding of data modeling and how complex backend systems generate and expose data across products and domains
Proven experience building data products for external consumption, such as APIs, dashboards, and partner-facing data feeds
Excellent communication and collaboration skills
Familiarity with modern data practices: version control (Git), CI/CD, testing, and observability
Nice to have:
Experience with real-time data platforms as Tinybird or Clickhouse
Exposure to domains like B2B, Marketing, or Partner Reporting
Experience with streaming or near-real-time data (Kafka, Kinesis, etc.)
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