We are seeking a highly skilled Senior Analytic Data Engineer to support enterprise healthcare analytics, data engineering initiatives, and HEDIS regulatory reporting programs.Key ResponsibilitiesDesign, develop, and maintain scalable ETL and data integration pipelinesBuild and optimize data workflows using: Python, PySpark, Apache Spark, Databricks, GCP ServicesDevelop and maintain enterprise reporting solutions using: Power BI, TableauSupport HEDIS data ingestion, transformation, validation, and reporting processesDesign fault-tolerant, scalable, and maintainable data engineering solutionsDevelop data models and datasets supporting regulatory and operational reportingEnsure compliance with healthcare data governance, security, and regulatory standardsRequired QualificationsBachelor's Degree in Computer Science, Information Systems, Engineering, or related field3+ years of experience with: Python, PySpark, ETL Development, Data Integration Solutions3+ years of experience with: Apache Spark (Dataproc), Databricks, GCP Data Services3+ years of reporting and dashboard development experience using: Power BI (Preferred), Tableau3+ years of advanced SQL development experience3+ years of Unix/Linux experienceExperience working with enterprise databases: Oracle, Teradata, DB2Experience with cloud platforms: Google Cloud Platform (GCP), Microsoft AzureExperience designing scalable, fault-tolerant, and maintainable data solutionsStrong understanding of: Data Architecture, ETL Frameworks, Enterprise Data IntegrationPreferred QualificationsRecent Healthcare Industry ExperienceHEDIS Reporting & Quality Measurement Experience (Highly Preferred)Informatica ExperienceRegulatory Reporting ExperienceExperience working with: Claims Data, Membership Data, Provider Data, Clinical DataKnowledge of Data Governance and Data Quality FrameworksAgile and SDLC MethodologiesCandidate Submission RequirementsUSC Candidates OnlyCompletion of the Senior Analytic Data Engineer (Python/Power BI) Glider Assessment is RequiredResume Must Include: Glider Assessment Link, Glider Score / Report LinkIdeal CandidateStrong Data Engineering backgroundHands-on expertise with Python, PySpark, Databricks, Power BI, SQL, and Cloud Data Platforms.📅 Employment Type: Contract-to-Hire (CTH)🕘 Schedule: Monday – Friday, 9:00 AM – 5:00 PM🎥 Interview Mode: Webcam Interview🛂 Work Authorization: USC Only🏥 Healthcare Experience Required (Recent Experience Mandatory)
