ABOUT UNBABEL

The company’s language operations platform blends advanced artificial intelligence with human editors, for fast, efficient, high-quality translations that get smarter over time. Unbabel integrates seamlessly in any channel so that agents can deliver consistent multilingual support from within their existing workflows. Making it easy for enterprises to grow into new markets and build seamless customer experiences in every corner of the world.
Based in San Francisco, California, Unbabel works with leading customer support and marketing teams at brands such as Facebook, Microsoft, Booking.com, and Under Armour to communicate effortlessly with customers around the world, no matter what language they speak.

WHAT’S THE OPPORTUNITY ABOUT?

Unbabel is looking for a Data Engineering Intern to join our team. As a Data Engineering Intern, you’ll help design, build, and maintain the data infrastructure and pipelines that support Unbabel’s core products and analytics. This is a unique opportunity to learn how large-scale language and translation data is processed, stored, and analyzed in a real-world, production environment.

REQUIREMENTS

• Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Software Engineering, or a related field, or equivalent practical experience.
• Basic programming skills—preferably Python (or similar language).
• Interest in data engineering, databases, cloud services, or big data.
• Understanding of fundamental data structures and concepts (e.g. tables, schemas, SQL or basic database querying).
• Curiosity and willingness to learn best practices in data engineering, data processing, and analytics.
• Ability to communicate in English and work collaboratively in a team.
• Eagerness to ask questions, seek feedback, and grow as an engineer.

• Collaborate with data engineers and other technical teams to understand business requirements and deliver data solutions.
• Assist in building, testing, and maintaining data pipelines (extraction, transformation, loading—ETL) and data integrations.
• Help optimize the performance and reliability of our data workflows.
• Contribute to the documentation of data architecture, pipelines, and processes.
• Learn to work with structured and unstructured data from multiple sources.
• Support data quality efforts—including monitoring, testing, and validation.
• Participate in daily team standups, sprint planning, and code reviews.
• Grow your skills in modern data tools, programming, and cloud technologies.