FeverUp is hiring
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As a Data Engineer, you’ll be part of the team responsible for designing and delivering the data products that power Fever’s partner ecosystem — from real-time APIs and dashboards to data exports or automated reports.
You’ll work at the crossroads of engineering, product, and business, translating complex requirements into elegant and maintainable solutions that create real impact for our clients and internal teams.
Build and optimize ETL/ELT workflows with Python, DBT, Airflow and Snowflake
Design and maintain partner-facing APIs, dashboards, webhooks and file exports
Translate business and product needs into clear technical requirements and data structures
Ensure data delivered to partners is accurate, consistent and aligned with business context
Contribute to architecture, testing and observability of the data ecosystem
As a Data Engineer, you’ll be part of the team responsible for designing and delivering the data products that power Fever’s partner ecosystem — from real-time APIs and dashboards to data exports or automated reports. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, Superset, DataHub, etc.) while developing our own technology to deliver high-quality, reliable, and scalable data products across multiple business domains.
You’ll work at the crossroads of engineering, product, and business, translating complex requirements into elegant and maintainable solutions that create real impact for our clients and internal teams.
Develop and optimize ETL/ELT workflows using Python, DBT, Airflow, and Snowflake
Design, build, and maintain partner-facing data products, including APIs (real-time and batch), dashboards, webhooks, and file-based exports.
Collaborate fluidly with Product Managers, Project Managers, and business stakeholders to translate ideas and reporting needs into clear technical requirements and data structures.
Ensure that all data delivered to partners is accurate, consistent, and aligned with the underlying business context.
Contribute to the architecture, testing, and observability of our data ecosystem
Strong proficiency in Python, SQL, Airflow, and Snowflake (or similar technologies).
Experience with real-time data platforms as Tinybird or Clickhouse
Proven experience building data products for external consumption, such as APIs, dashboards, and partner-facing data feeds.
Experience with streaming or near-real-time data (Kafka, Kinesis, etc.).
Excellent communication and collaboration skills — you can work seamlessly with business stakeholders and product managers, translating abstract needs into clear data solutions.
Familiarity with modern data practices: version control (Git), CI/CD, testing, and observability.
- Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams - A Bachelor’s or Master’s degree in Computer Engineering, Data Engineering, or a related field. - Strong proficiency in Python, SQL, Airflow, and Snowflake (or similar technologies).
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4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Collaborate fluidly with Product Managers, Project Managers, and business stakeholders to translate ideas and reporting needs into clear technical requirements and data structures. - Develop and optimize ETL/ELT workflows using Python, DBT, Airflow, and Snowflake, ensuring scalability, maintainability, and reliability. - Design, build, and maintain partner-facing data products, including APIs (real-time and batch), dashboards, webhooks, and file-based exports.
- A Bachelor’s or Master’s degree in Computer Engineering, Data Engineering, or a related field. - Strong proficiency in Python, SQL, Airflow, and Snowflake (or similar technologies). - A deep understanding of data modeling and how complex backend systems generate and expose data across products and domains.
Nice to have - Experience with real-time data platforms as Tinybird or Clickhouse - Exposure to domains like B2B, Marketing, or Partner Reporting.
About the role As a Data Engineer, you’ll be part of the team responsible for designing and delivering the data products that power Fever’s partner ecosystem — from real-time APIs and dashboards to data exports or automated reports. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, Superset, DataHub, etc.) while developing our own technology to deliver high-quality, reliable, and scalable data products across multiple business domains. You’ll work at the crossroads of engineering, product, and business, translating complex requirements into elegant and maintainable solutions that create real impact for our clients and internal teams.
- Exposure to domains like B2B, Marketing, or Partner Reporting. - Experience with streaming or near-real-time data (Kafka, Kinesis, etc.). Why Join Us
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Hey there!
We’re Fever, the world’s leading tech platform for culture and live entertainment.
Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?
To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!
Ready to be part of the experience?
Now, let’s discuss this role and what you will do to help achieve Fever’s mission.
As a Data Engineer, you’ll be part of the team responsible for designing and delivering the data products that power Fever’s partner ecosystem — from real-time APIs and dashboards to data exports or automated reports. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, Superset, DataHub, etc.) while developing our own technology to deliver high-quality, reliable, and scalable data products across multiple business domains.
You’ll work at the crossroads of engineering, product, and business, translating complex requirements into elegant and maintainable solutions that create real impact for our clients and internal teams.
This is a unique opportunity to join Fever’s Data team at a key moment of growth. You’ll help design and scale the reporting and data delivery layer that connects our platform with thousands of partners worldwide. You’ll work with a modern data stack, collaborate with talented engineers and product teams, and shape how Fever delivers value through data.
You’ll join a team that values clarity, autonomy, and impact — where engineering excellence and business understanding go hand in hand.
The interview process will be conducted in Spanish; however, some interviews will require English.
Thank you for considering joining Fever. We cannot wait to learn more about you!
If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch
Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!
If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice
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