GCP Cloud Engineer

Job Description

We are seeking a highly skilled Data Engineer with strong expertise in Python, Google Cloud Platform (GCP), and AI-enabled data solutions. The ideal candidate will build scalable data pipelines and support advanced analytics initiatives within the healthcare domain, with a focus on Medicare Part D data and patient safety outcomes. The ideal profile should reflect a higher level of technical proficiency, problem-solving ability, and domain understanding particularly in building robust data solutions, working with complex healthcare datasets, and collaborating effectively across data science, clinical, and business teams.

Responsibilities

• Data Engineering & Pipeline Development
• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured healthcare data.
• Build robust data ingestion frameworks from multiple sources (Medical claims, RX Claims, Membership etc.).
• Ensure data quality, integrity, and governance across all pipelines.
• Optimize data workflows for performance, reliability, and cost efficiency on GCP.
• AI & Advanced Analytics Enablement
• Collaborate with data scientists to operationalize AI/ML models in production environments.
• Develop feature pipelines and data transformations for machine learning use cases.
• Support use cases such as:
  • Patient risk scoring
  • Quality and safety analytics
• Cloud & GCP Engineering
• Build and manage data infrastructure using GCP services such as:
  • BigQuery
  • Cloud Composer Workflow
  • Cloud Storage
  • Dataproc / Spark
• Implement data lake and data warehouse architectures on GCP.
• Ensure compliance with HIPAA and healthcare data security standards .
• Healthcare & Medicare Data Management
• Work with Medicare datasets including:
  • Claims data (Part D)
  • Provider and beneficiary data
• Enable analytics for quality measures, patient outcomes, and regulatory reporting .
• Patient Safety & Compliance
• Develop solutions to monitor and improve patient safety indicators (PSIs) and care quality.
• Build data models supporting:
  • Adverse event detection
  • Medication safety
  • Clinical quality measures
• Ensure compliance with healthcare regulations and data privacy standards.

Qualifications

• Technical Skills
• Strong programming Handson experience in Python/ Pyspark (mandatory)
• Expertise in:
  • SQL (advanced querying, performance tuning)
  • Data modeling (star/snowflake schemas)
• Hands-on experience with GCP data services (Big Query, Dataproc)
• Experience with distributed processing frameworks (e.g., Apache Spark )
• Familiarity with CI/CD pipelines and DevOps practices
• AI & Machine Learning
• Experience supporting ML/AI workflows and pipelines
• Healthcare Domain Knowledge (Preferred but Strongly Desired)
• Experience working with healthcare datasets (claims, EHR, clinical data)
• Familiarity with Medicare/Medicaid data structures and reporting
• Understanding of value-based care and quality measures
• Patient Safety Knowledge (Preferred)
• Knowledge of patient safety frameworks and indicators
• Experience supporting:
  • Quality reporting programs (e.g., CMS measures)
  • Clinical risk and compliance analytics