Hybrid Data Engineer – Mid-Senior Level

Posted 3 weeks ago

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About the role

  • 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.

Requirements

  • 4–8 years of hands-on data engineering experience.
  • Strong proficiency with Airflow and Databricks (Spark, Delta Lake, SQL, Python).
  • Experience building scalable ingestion pipelines with Airbyte, Fivetran, or custom API connectors.
  • Solid understanding of Azure data ecosystem (Data Lake, Blob Storage, Key Vault, Functions, FHIR Server, etc.).
  • Experience implementing and maintaining ETL/ELT pipelines in a HIPAA or regulated environment.
  • Comfort with both SQL and Python for transformations, orchestration, and testing.
  • Strong grasp of data modeling, schema evolution, and versioned datasets.
  • Ability to operate independently and deliver results in a small, fast-moving team.
  • Experience with FHIR and healthcare data structures and interoperability standards.
  • Familiarity with vector databases (e.g., pgvector, Pinecone) or embedding pipelines for AI/LLM applications.
  • Experience with GitHub best practices for maintaining and sharing code.
  • Familiarity with Superset or other analytics tools for internal visualization.
  • Understanding of security best practices, including encryption, RBAC, and least-privilege design.

Benefits

  • 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.

Job title

Data Engineer – Mid-Senior Level

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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