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Data Engineer
Curana Health
- New York, New York, United States
- New York, New York, United States
À propos
The Data Engineer is responsible for building, optimizing, and maintaining data pipelines that support clinical, operational, and analytical reporting across the healthcare ecosystem. This role works closely both independently and with senior engineers to support the organization’s data analytics and business intelligence needs. The ideal candidate is familiar with healthcare data standards, possesses intermediate engineering skills, and can operate in a highly regulated, fast‑paced environment.
Essential Duties & Responsibilities
Assist in building and maintaining ETL/ELT pipelines for healthcare datasets including claims, eligibility, provider, risk adjustment, HEDIS, EHR, and clinical data.
Support the development of data models and data transformations aligned with healthcare standards (e.g., HL7, FHIR, X12).
Contribute to data quality checks, validation rules, and documentation for healthcare data assets.
Work with analysts and business users to understand data requirements and translate them into technical tasks.
Assist in ingestion and integration of new data sources from EMR systems, CMS feeds, and vendor partners.
Develop SQL queries, transformations, functions, and stored procedures to support reporting and analytics workflows.
Support data platform tools such as Azure Data Factory, Databricks, Python/Spark jobs, and version control workflows.
Participate in issue resolution related to data pipeline failures or data quality errors.
Maintain data dictionaries, mapping files, and documentation as part of data governance processes.
Collaborate with senior engineers to implement best practices in security, compliance (HIPAA), and architecture.
Qualifications
2–4 years of experience in data engineering, ETL development, or data integration (healthcare experience preferred).
Strong SQL skills and experience working with relational databases.
Basic to intermediate experience with Azure Data Factory, Databricks, PySpark, or comparable ETL tools.
Familiarity with healthcare data types such as claims, eligibility, provider files, or EHR data.
Knowledge of interoperability formats (HL7, X12, FHIR) is a strong plus.
Basic Python or Scala programming skills.
Understanding of data warehousing concepts and modern data architectures.
Ability to learn quickly and work collaboratively across technical and non‑technical teams.
Strong communication, documentation, and organizational skills.
Bachelor’s degree in Computer Science, Information Systems, Healthcare Informatics, or related field (or equivalent experience).
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Compétences linguistiques
- English
Avis aux utilisateurs
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