Healthcare Data Engineer

Curate Partners is seeking a mid-level data engineer to build and support scalable data pipelines and integrations in a healthcare environment. The role focuses on Python, SQL, GCP, APIs, healthcare data quality and security, and supporting AI, machine learning, and analytics use cases.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT processes
• Develop data engineering solutions using Python and SQL
• Build and support cloud-based data solutions within Google Cloud Platform (GCP)
• Develop and integrate APIs to support data exchange between applications and platforms
• Work with large, complex healthcare datasets and ensure data is accurate, reliable, and usable
• Support data pipelines and services that enable AI, machine learning, and analytics use cases
• Collaborate with data scientists, analysts, software engineers, product teams, and healthcare stakeholders
• Troubleshoot data quality, pipeline performance, and integration issues
• Follow healthcare data security, privacy, and governance standards

Requirements:

• Approximately 3–6 years of professional data engineering experience
• Strong hands-on experience with Python
• Advanced working knowledge of SQL, including complex queries and data transformations
• Professional experience with GCP, ideally including technologies such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, or related services
• Experience designing, developing, or integrating REST APIs and data services
• Exposure to AI/ML or GenAI-related data engineering, such as preparing data pipelines for models, AI applications, or LLM-based solutions
• Strong experience building and maintaining production-grade data pipelines
• Previous healthcare industry experience is required and will be heavily prioritized
• Experience working with healthcare datasets such as claims, clinical, patient/member, provider, pharmacy/PBM, EHR/EMR, eligibility, or population health data is highly desirable
• Experience with healthcare organizations such as health plans, providers, PBMs, health-tech companies, or value-based care organizations
• Understanding of healthcare data standards or models such as FHIR, HL7, OMOP, or X12
• Experience with BigQuery and cloud-native GCP data architectures
• Experience supporting AI/ML applications, LLMs, RAG pipelines, or GenAI solutions
• Familiarity with CI/CD, Git, Docker, Airflow, or similar engineering tools