Data Engineer

FeverUp; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relación de dependencia

40% discount on Fever events andExperi

Osde 410 medical insurance

Home office friendly in Argentina

English Lessons

Gympass

Stock options

Competitive compensation package

Job summary

Fever is seeking a Data Engineer to design and deliver data products powering Fever’s partner ecosystem. You’ll work with real‑time APIs, dashboards, and automated reports using Snowflake, DBT, Airflow, and custom tooling. You’ll translate complex requirements into scalable data solutions across domains.

You’ll collaborate with product, engineering, and business teams to ensure accurate, timely data delivery and contribute to the data mesh evolution with governance and observability practices.

Qualifications

• Fluent in Spanish and English, with cross‑regional communication ability.
• Bachelor’s or Master’s degree in Computer/Data Engineering or related field.
• Strong Python, SQL, Airflow, and Snowflake proficiency.
• Deep data modeling knowledge across products and domains.
• Experience building data products for external consumption (APIs, dashboards).
• Excellent communication and collaboration with stakeholders and PMs.
• Clear, impact‑focused thinking and ownership from concept to delivery.
• Comfort with Git, CI/CD, testing, and observability.

Responsibilities

• Understand Fever’s backend systems and data models to map logic to data.
• Collaborate with PMs and stakeholders to translate needs into data structures.
• Develop and optimize ETL/ELT workflows using Python, DBT, Airflow, Snowflake.
• Design and maintain partner‑facing data products: APIs, dashboards, exports.
• Ensure accuracy and consistency of data delivered to partners.
• Contribute to architecture, testing, and observability of the data ecosystem.
• Own solutions from idea through delivery in collaboration with cross‑functional teams.
• Help evolve Fever’s data mesh with domain‑level data product governance.

Skills

Spanish fluency

English fluency

communication

collaboration

ownership

fast-paced work

data modeling

problem solving

Education

Bachelor's or Master's in Computer Engineering / Data Engineering

Tools

Python

SQL

Airflow

Snowflake

Git

CI/CD

Testing

Observability

Job description

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.

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.

What you will do

• Deeply understand Fever’s backend systems and data models, identifying the logic and transformations that connect business processes to data representations.
• 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.
• 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, promoting best practice s and automation wherever possible.
• Take ownership from idea to delivery — you’ll scope, design, implement, and ship solutions in close collaboration with cross-functional teams.
• Support the evolution of Fever’s data mesh, helping domain teams design data products that follow common engineering and governance standards.

What you bring

• 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).
• A 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 — you can work seamlessly with business stakeholders and product managers, translating abstract needs into clear data solutions.
• You communicate clearly, think in terms of impact, and make technical decisions grounded in business context.
• You thrive in fast-paced environments, adapt quickly to change, and maintain a strong sense of ownership from concept to delivery.
• 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.).

Why Join Us

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.

Interview process

The interview process will be conducted in Spanish; however, some interviews will require English.

• Talent Interview
• Technical Interview I
• Technical Interview II
• Manager Interview

Benefits & Perks

• “Relación de dependencia” contract.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Osde 410 as medical insurance
• Home office friendly anywhere in Argentina
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• English Lessons
• PedidosYa Plus
• Gympass
• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.(Including Base, Variable, and Stock Options)

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.

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