Curana Health provides primary care and on-site clinical services for older adults in skilled nursing and senior living communities. Its physician-led teams work with care operators, payors, and Medicare Advantage plans to deliver value-based care, including medical director services, care coordination, remote patient monitoring, behavioral health, and palliative care. The company combines community-based clinical services with technology and payor partnerships, with a focus on reducing avoidable hospital readmissions, falls, and medication-related risks while improving residents’ experience. Curana Health’s hiring spans a multidisciplinary healthcare organization serving senior communities.
Remote Data Engineer, Healthcare Data | Curana Health
Build healthcare data pipelines and analytics infrastructure for Curana Health’s value-based senior care services. Support claims, EHR, clinical, and operational data workflows.
Apraksts
- Create and maintain pipelines for claims, eligibility, provider, risk adjustment, HEDIS, EHR, and clinical data.
- Help build data models and transformations that follow HL7, FHIR, and X12 standards.
- Contribute data quality checks, validation rules, and documentation for healthcare data assets.
- Translate analysts’ and business users’ data needs into technical tasks.
- Help ingest and integrate data from EMR systems, CMS feeds, and vendor partners.
- Write SQL queries, transformations, functions, and stored procedures for reporting and analytics.
- Support Azure Data Factory, Databricks, Python and Spark jobs, and version control workflows.
- Help investigate and resolve pipeline failures and data quality errors.
- Maintain data dictionaries, mapping files, and governance documentation.
- Work with senior engineers on security, HIPAA compliance, and architecture practices.
Prasības
- At least 2 years of experience in data engineering, ETL development, or data integration.
- Strong SQL skills and experience with relational databases.
- Intermediate experience with Azure Data Factory, Databricks, PySpark, or similar ETL tools.
- Familiarity with healthcare data such as claims, eligibility, provider files, or EHR records.
- Knowledge of HL7, X12, and FHIR interoperability formats is a plus.
- Basic Python or Scala programming skills.
- Understanding of data warehousing and modern data architecture.
- Ability to learn quickly and collaborate with technical and nontechnical teams.
- Strong communication, documentation, and organizational skills.
- Bachelor’s degree in Computer Science, Information Systems, Healthcare Informatics, or a related field, or equivalent experience.
- Ability to work in a highly regulated environment and follow HIPAA security and compliance practices.
- Must not require visa sponsorship; sponsorship, including H-1B, is unavailable at this time.
Priekšrocības
- Equal opportunity employer committed to nondiscrimination.
- Visa sponsorship is unavailable at this time.