Senior Data Engineer (AWS + Snowflake)

About the role

A Senior Data Engineer is sought for a Unified Data Platform initiative in the healthcare industry, focused on enterprise-wide data interoperability, advanced analytics and AI capabilities. The role involves designing and building scalable cloud-based data solutions, modernizing data platforms and enabling integration across enterprise systems. The position is open to candidates in LATAM / Mexico with 6+ years of experience.

Key responsibilities

• Design, develop and maintain scalable ETL/ELT data pipelines.
• Build API-based data integration solutions.
• Implement modern data architectures based on Data Mesh / Data-as-a-Product principles.
• Enable data interoperability across enterprise platforms.
• Integrate AI/ML capabilities into data workflows.
• Optimize and automate data processes.
• Collaborate with architecture, product and engineering teams.

Required profile

• 6+ years of experience in data engineering.
• Nice to have: healthcare industry experience (ACA, Medicare, Medicaid), enterprise-scale data platforms, and agile methodologies with strong stakeholder management.

Required skills

• Strong hands-on experience with AWS (S3, Glue, Lambda, Redshift).
• Snowflake.
• Advanced Python and SQL.
• ETL/ELT pipeline development and optimization, API-based integrations.
• Understanding of Data Mesh / Data-as-a-Product architectures.
• Nice to have: Kafka or other event-driven architectures, AI/ML integration into data pipelines.