Data Engineer (remote)
Claritev
full-remotemidpermanentbackenddata United States 2 days ago via LinkedIn
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Data EngineeringSQLPythonPySparkAzure Data FactoryData ModelingData WarehousingData QualityHIPAASpark
About the role
Role Overview
Data Engineer (Remote) at Claritev. You’ll help design, build, and maintain scalable data pipelines and data warehouse assets to support reporting, analytics, and predictive/prescriptive modeling—while ensuring healthcare compliance.
Responsibilities
- Understand business processes and how they are modeled across enterprise systems.
- Partner with business users, engineering teams, and executives to define data needs and deliver solutions.
- Implement data structures, workflows, and integrations between enterprise platforms.
- Maintain scalable data pipelines as data volume and complexity grow.
- Apply data integration/engineering best practices for current and future data infrastructure.
- Improve database and query performance (including tools and solutions).
- Build and maintain data warehouse/database objects, tables, SQL queries, and ingestion pipelines.
- Transform raw data into reusable, accessible data models via complex SQL.
- Prepare datasets for predictive and prescriptive modeling.
- Identify and analyze data patterns; improve reliability, efficiency, and data quality.
- Collaborate with analytics/data science and engineering teams to automate analysis and visualization.
- Advise on transformation processes and help design/develop data infrastructure.
- Coordinate across disciplines and departments; communicate effectively.
- Ensure compliance with HIPAA and requirements related to sensitive data (PHI).
About Claritev
Claritev is a healthcare-focused technology and data team working to bend the cost curve in healthcare. The company emphasizes innovation, accountability, diversity, and service excellence while building data and innovation capabilities for internal and external stakeholders.
Scraped 4/11/2026