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Azure Data Engineer - Batch Pipelines (Guadalajara, MX)

FlexTal Staffing LLC

Guadalajara, Jalisco, Mexico Hybrid permanent

Posted: October 22, 2025

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Quick Summary

Design and implement high-quality batch ingestion pipelines from key data sources into Medallion-zone architecture (Bronze, Silver, Gold) with a focus on data quality, lineage, and e

Job Description

A rapidly scaling Health-Tech startup is developing a next-generation platform to deliver an industry-leading consumer healthcare experience powered by AI. The Azure-native ecosystem supports telemedicine and telehealth web and mobile applications while redefining the company’s data, analytics, and AI foundation.

Role Overview

We are seeking an experienced Azure Data Engineer to design and implement high-quality batch ingestion pipelines from key data sources (EMR, claims, CRM) into Medallion-zone architecture (Bronze, Silver, Gold). The role focuses on embedding data quality, lineage, and error handling within a metadata-driven, reusable framework that ensures scalability and transparency across the enterprise data platform.

Key Responsibilities

• Build and optimize Azure Data Factory (ADF) pipelines, dataflows, and activities (Copy, Mapping Data Flows, Notebooks) for ingestion and ELT, leveraging Key Vault for secrets management.
• Implement schema drift handling, incremental loads, and retry/error notification patterns.
• Develop Silver/Gold transformations, conforming dimensions and KPIs according to business-defined semantic models.
• Apply data quality checks, publish metrics to monitoring dashboards, and lead issue remediation.
• Register and maintain assets in Microsoft Purview, ensuring data cataloging, PII classification, and RBAC alignment.
• Document pipelines, author operational runbooks, and actively participate in peer code reviews and on-call rotations.

Expected Outcomes

• 2–3 data sources onboarded per quarter, each validated with signed-off data quality results and lineage diagrams.
• Parameterized pipelines with reusable templates and environment-aware configurations.
• Consistent delivery of reliable, compliant, and performant data pipelines supporting analytics and AI workloads.


Requirements:
Qualifications

• 4–7 years of hands-on experience in data engineering within Azure ecosystems.
• Strong command of ADF and SQL, with working knowledge of PySpark, Databricks, and Synapse.
• Experience implementing Medallion architecture (Bronze, Silver, Gold), partitioning strategies, and performance optimization.
• Familiarity with Purview, data governance, and data privacy standards (HIPAA or similar).

📍 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


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.

• Christmas Bonus: 30 days, to be paid in December.

• Major Medical Expense Insurance: Coverage up to $20,000,000.00 MXN.
• Minor Medical Insurance: VRIM membership with special discounts on doctor’s appointments and accident reimbursements.
• Dental Insurance: Always smile with confidence!
• Life Insurance: (Death and MXN Disability)
• Vacation Days: 12 vacation days in accordance with Federal Labor Law, with prior approval from your manager. + Floating Holidays: 3 floating holidays in addition to the 7 official holidays in Mexico.
• Cell Phone Reimbursement & Transportation Subsidy.
• Hybrid Scheme: Enjoy the best of both worlds, remote and in-office work.
• Multicultural Exposure: Work with operations within Mexico and the United States.
• MezTal Internal Events: Strike a healthy balance between your professional and personal goals.
• Exclusive Discounts: Benefits with different companies for being part of MezTal.
• Academic Agreements: Access to national universities and language schools.

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