Data Engineer (Mid-Senior Level) - Guadalajara, MX...

We are transforming how senior living communities deliver and coordinate care. Our integrated, AI-enabled healthcare platform bridges the “Care Chasm” by connecting data from communities, providers, and EHRs into a unified Integrated Health Record (IHR)—empowering care teams to make proactive, data-driven decisions.

This well-funded startup is backed by leaders in senior living and healthcare innovation. The technology platform spans FHIR-based interoperability, population health analytics, and AI-driven insights that improve resident outcomes and operator efficiency.

You’ll be joining a small but scrappy engineering team building modern data and AI infrastructure on Azure, with strong support from leadership and select offshore contributors.

The Opportunity

We’re looking for an experienced Data Engineer who thrives in a startup environment—someone capable of architecting, implementing, and maintaining modern data pipelines and AI-ready data layers. You’ll work hands-on across ingestion, transformation, and orchestration layers, while also shaping the future of how data flows across our platform to power predictive models, dashboards, and resident-centric insights.

You’ll collaborate with product, app engineering, data science, and clinical operations teams to turn complex healthcare data into reliable, scalable, and actionable intelligence.

📍 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

What You’ll Do

• Own data ingestion, transformation, and curation across Bronze, Silver, and Gold layers of our Databricks-based Medallion Architecture.
• Manage and optimize data pipelines using Airflow for orchestration and Airbyte (or similar tools) for multi-source ingestion.
• Build and maintain connectors and workflows for APIs, EHR / EMR systems (FHIR), resident life, and IoT / monitoring data sources.
• Implement batch and streaming pipelines supporting both analytics and near real-time use cases.
• Develop and monitor data quality, validation, and profiling frameworks across ingestion points.
• Support AI enablement efforts — preparing data for LLM-based insights, population health analytics, and predictive modeling use cases (e.g., fall risk, medication adherence, staffing optimization).
• Collaborate closely with data science to enable curated datasets and semantic layers for Superset and AI query interfaces.
• Partner with our infrastructure team to maintain infrastructure as code (Terraform) for data services, ensuring scalability and reproducibility.
• Partner with security and compliance officers to move towards HIPAA and SOC 2 alignment for all data storage and processing.

Why Join Us

Requirements

What We’re Looking For

Required :

Preferred :

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.