GCP Data Engineer (Medicare) at EXL

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 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 Enablemen

• tCollaborate 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 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 architectures on GCP
• .Ensure compliance with HIPAA and healthcare data security standards

.Healthcare & Medicare Data Managemen

• tWork with Medicare datasets including
• :Claims data (Part D
• )Provider and beneficiary dat
• aEnable analytics for quality measures, patient outcomes, and regulatory reporting

.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 in Python/ Pyspark (mandator
• y)Expertise i
• n:SQL (advanced querying, performance tunin
• g)Data modeling (star/snowflake schema
• s)Hands-on experience with GCP data services (Big Query, Datapro
• c)Experience with distributed processing frameworks (e.g., Apache Spar
• k)Familiarity with CI/CD pipelines and DevOps practic

esAI & Machine Learni

• ngExperience supporting ML/AI workflows and pipelin

esHealthcare Domain Knowledge (Preferred but Strongly Desire

• d)Experience working with healthcare datasets (claims, EHR, clinical dat
• a)Familiarity with Medicare/Medicaid data structures and reporti
• ngUnderstanding of 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