Senior Streaming Data Engineer (Guadalajara, MX)...

A leading Health-Tech startup is developing a next-generation Azure-native data platform to power AI-driven digital healthcare experiences. The platform supports existing telemedicine and telehealth applications while re-imagining data, analytics, and AI foundations for scale, quality, and speed.

Role Overview

We’re seeking a Senior Streaming Data Engineer to design and implement real-time ingestion and processing frameworks using Azure Event Hubs or Service Bus. You’ll build robust, low-latency pipelines that deliver reliable data for near-real-time analytics, driving operational insight and intelligent automation across the platform.

Key Responsibilities

• Develop and optimize event-streaming pipelines and stateful processors for real-time ingestion and transformation.
• Implement checkpointing, replay, and dead-letter strategies to ensure fault tolerance and observability.
• Design and maintain autoscaling, partition management, and health monitoring for streaming workloads.
• Build near-real-time views and curated data products supporting analytics and AI.
• Collaborate with the batch ingestion team to reconcile late or changed data and align Slowly Changing Dimensions (SCD) logic.

Key Outcomes

Requirements

📍 Location : Providencia, Guadalajara, Mexico

🗣️ Language : Bilingual (English & Spanish)

💼 Must be legally authorized to work and currently residing in Mexico.

⌚Full-Time | U.S. Eastern Time

Qualifications

Benefits

Why Join MezTal?

At Meztal, we prioritize innovation, collaboration, and personal growth. You’ll have the opportunity to work on meaningful projects, be part of a supportive team, and enjoy a culture that values work-life balance and professional development.