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Posted May 3, 2026

Data Engineer Mid

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About Reserhub:

Technology is transforming the way people travel and were here to drive that evolution from the ground up. In 2014, at MIT, we decided to embark on this journey by focusing on the bus industry. Why? Because its the most widely used mode of transportation in Latin America, with over 10 billion passengers per year 13 times more than air travel. Yet, only 10% of tickets are currently sold online.

We know thats changing. And we strongly believe that digital sales will soon surpass 50%. Today, Reserhub is becoming the operating system for ground transportation, connecting companies with tech solutions that integrate data, pricing intelligence, and tools to digitalize their operations from ticket sales to revenue management and customer loyalty.

Our ecosystem powers leading brands like Primera Plus, ETN, and others across the region. And we continue to grow our network with a clear mission: to connect data, people, and technology to accelerate digital transformation. Our motto says it all: "Be creative, take ownership, and be a team player."
What youll do
Who you are

We're looking for someone with engineering skills in both development and data engineering who shares our core values:

When it comes to technology, you dont need to know it all — just be ready to pick things up fast. Youll fit right in if you have experience in these areas 3+ years of experience:

Nice to have:

In our team, everyone works across all of our applications — or at least we try. We share ownership, collaborate closely, and help each other maintain and improve every part of the platform.

Some of our projects

Data Lake & Analytics Infrastructure

We're building a comprehensive data lake that consolidates behavioral data from multiple sources. Currently, we're ingesting event data from Mixpanel (tracking millions of user interactions across our sites) and storing it in ClickHouse for fast analytical queries. 

Ticket Sales Pipeline

We've built an end-to-end pipeline that tracks every ticket purchase from search to fulfillment. This pipeline processes thousands of transactions daily and serves as the foundation for revenue analytics and business intelligence.

Personalization & Messaging Engine

Using the behavioral data in our data lake, we're building intelligent systems to improve the customer experience:

How to apply

Pay and benefits:

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