Job Summary:

Looking for a seasoned Data & AI Engineer to design, build, and maintain scalable data pipelines, APIs, and AI/ML infrastructure with a focus on healthcare data (FHIR) and cloud-based systems.

Core Responsibilities:

• Build ETL/ELT pipelines (batch & real-time)

• Develop APIs & backend integrations (Python, Java)

• Manage data workflows (Airflow or similar)

• Deploy & monitor AI/ML models (MLOps best practices)

• Administer cloud data platforms (AWS, Azure, GCP)

• Integrate diverse data sources, with emphasis on healthcare standards

• Handle CI/CD pipelines, containerization (Docker, Kubernetes)

• Apply best practices in data modeling, DBT, data governance

• Ensure security, compliance, and system documentation

Requirements:

• Bachelor’s in Computer Science (or 10+ years of equivalent experience)

• 5+ years in Python & Java development

• 2+ years in software delivery projects

• 1+ year in a client-facing or services role

• Proven skills in ETL/ELT, big data infra, AI/ML workflows, and cloud platforms

• Experience with CI/CD, containerization, and data warehouse design

Bonus Points:

• Familiarity with FHIR & healthcare interoperability