Join a pioneering health technology company dedicated to transforming how people manage their well-being through AI-driven solutions. With a mission to make healthcare more accessible, proactive, and personalized, they leverage cutting-edge technology to empower individuals with real-time health insights and support. Their innovative platform is designed to enhance user engagement and improve health outcomes at scale.

They are seeking a Data Engineer to join the team in Guadalajara, MX. As a Data Engineer, you will be responsible for the design, development, and operation of our data pipelines, warehouses, and architectures. You'll partner with analytics, product, and engineering teams to transform raw data into trusted, consumable formats-enabling reporting, dashboards, and downstream services. This is a hands-on role in a flexible hybrid setup, ideal for someone who is passionate about solving complex data challenges and creating scalable data solutions.

Ready to turn cutting-edge tech into life-changing health outcomes? Apply today-we'd love to have you on the team. This is an incredible remote opportunity to work for a US-based company.

What You'll Do

• Data Pipeline Development: Build, maintain, and optimize robust ETL/ELT workflows (batch and real-time) using Python or Java and orchestration tools like Airflow or Prefect.
• Data Warehouse & Modeling: Design and evolve schemas in Snowflake (or similar), ensuring efficient storage, query performance, and maintainability.
• DBT Modeling & Quality: Develop and maintain DBT models and tests in Snowflake to drive standardized data transformations and enforce data quality.
• Infrastructure & Scalability: Plan and monitor capacity, performance-tune data stores (PostgreSQL, MongoDB, and MySQL).
• Architecture & Solution Design: Collaborate on solution architecture for new data initiatives-evaluating technologies, defining interfaces, and documenting standards.
• Data Quality & Governance: Implement validation, reconciliation, and lineage tracking to ensure data integrity, security, and compliance with relevant regulations like HIPPA and SOC2.
• Cross-Functional Collaboration: Partner with data analysts and product managers to translate business requirements into data models, pipelines, and dashboards.
• Troubleshooting & Support: Diagnose and resolve data-related incidents, maintaining high availability and SLAs for data services.
• Process Improvement: Drive continuous improvement through Agile/Scrum practices-refining workflows, CI/CD for data code, and monitoring/alerting.

What You Need

• Bachelor's degree in Computer Science, Engineering, or related field (Master's a plus).
• 5+ years of hands-on data engineering experience.
• Advanced proficiency in Python and/or Java for data pipeline development.
• Deep expertise in SQL and relational database design (PostgreSQL).
• Practical experience with AWS services like EKS and infrastructure-as-code.
• Hands-on with Snowflake (or equivalent cloud data warehouse) and MongoDB.
• Strong understanding of data warehousing principles, ETL/ELT patterns, and performance tuning.
• Experience working in Agile/Scrum teams and using CI/CD tooling for data workflows.
• Preferred Qualifications:
• Data engineering certifications (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).
• Prior experience in healthcare or regulated industries (HIPAA, data privacy).
• Familiarity with streaming architectures (Kafka, Kinesis), message queues, such as Redis, for real-time data integration or change-data-capture (CDC) techniques.
• Experience with data transformation frameworks (dbt) or orchestration platforms (Airflow, Prefect).
• Experience with healthcare data standards like FHIR is a plus.
• Skills:
• Excellent communication and stakeholder management-translating technical concepts for non-technical audiences.
• Strong problem-solving mindset with attention to detail and data accuracy.
• Self-starter with the ability to work independently and collaborate effectively.
• Passion for building scalable, reliable data systems that directly impact patient care and business decisions.

Salary & Perks

• Location: Hybrid in Guadalajara, México.
• The candidate must live within a commuting distance from the office location.
• This role is not eligible for visa sponsorship or relocation.
• Market-leading Salary.
• This is a full-time, long-term position.
• The position is immediately available and requires entering into an independent contractor agreement.
• This is a hybrid role; 3 days onsite in the office are required weekly, along with remote work.
• Monday through Friday, 8:00 a.m. to 5:00 p.m. (+/- 1 hour accepted) - PST.

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