Intern Data Engineer at Flutter Studios learning to create applications in the gaming industry. Join a cross - functional team to implement a basic application in an Agile environment.
About the role
- Data Engineer crafting data ingestion and transformation processes for an AI healthcare platform. Collaborating with teams to turn complex healthcare data into actionable insights.
Responsibilities
- 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
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