GCP Data Engineer (Medicare)

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. Key Responsibilitie sData Engineering & Pipeline Developmen tDesign, develop, and maintain scalable ETL/ELT pipeline s 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 governanc e across all pipelines .Optimize data workflows for performance, reliability, and cost efficiency on GCP .AI & Advanced Analytics Enablemen tCollaborate with data scientists to operationalize AI/ML model s in production environments .Develop feature pipelines and data transformations for machine learning use cases .Support use cases such as :Patient risk scorin gQuality and safety analytic sCloud & GCP Engineerin gBuild and manage data infrastructure using GCP services such as :BigQuer yCloud Composer Workflo wCloud Storag eDataproc / Spar kImplement data lake and data warehouse architecture s on GCP .Ensure compliance with HIPAA and healthcare data security standard s .Healthcare & Medicare Data Managemen tWork with Medicare dataset s including :Claims data (Part D )Provider and beneficiary dat aEnable analytics for quality measures, patient outcomes, and regulatory reportin g .Patient Safety & Complianc eDevelop solutions to monitor and improve patient safety indicators (PSIs ) and care quality .Build data models supporting :Adverse event detectio nMedication safet yClinical quality measure sEnsure compliance with healthcare regulations and data privacy standards . Required Qualificatio nsTechnical Skil lsStrong programming Handson experience i n Python/ Pyspa rk (mandator y)Expertise i n:SQL (advanced querying, performance tunin g)Data modeling (star/snowflake schema s)Hands-on experience wit h GCP data servic es (Big Query, Datapro c)Experience with distributed processing frameworks (e.g. , Apache Spa r k)Familiarity wit h CI/CD pipelin es and DevOps practic esAI & Machine Learni ngExperience supporting ML/AI workflows and pipelin esHealthcare Domain Knowledge (Preferred but Strongly Desire d)Experience working wit h healthcare datase ts (claims, EHR, clinical dat a)Familiarity wit h Medicare/Medicaid data structures and reporti ngUnderstanding o f value-based care and quality measur esPatient Safety Knowledge (Preferre d)Knowledge of patient safety frameworks and indicato rsExperience supportin g:Quality reporting programs (e.g., CMS measure s)Clinical risk and compliance analyti cs Experie nce5+ years of experience in data engineering or related fi eld2+ years working on cloud-based data platforms (preferably G CP)Experience in healthcare analytics or payer/provider systems is highly prefer red