Data Engineer

New
I
Inizio Partners CorpHealthcare Technology
United StatesFull-Time
Salary not disclosed
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Job Details

Required Skills
PythonSQLETLReact.jsAirflowNosqlPandasRESTful APIsPySpark

Requirements

  • Strong hands-on experience with Python for data engineering and backend development.
  • Experience with data processing frameworks and libraries such as Pandas, PySpark, Airflow, and SQLAlchemy.
  • Basic to strong experience with React.js frontend development.
  • Experience building scalable ETL/ELT pipelines and production-grade data applications.
  • Strong understanding of REST APIs and system integrations.
  • Experience working with relational and/or NoSQL databases.
  • Experience with data warehousing, data modeling, and large-scale data processing.
  • Familiarity with cloud platforms and data services (AWS, Azure, or GCP).
  • Ability to work in ambiguous, real-world problem spaces.
  • Strong communication skills with technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Responsibilities

  • Build and maintain data-driven web applications using Python and React.
  • Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows.
  • Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets.
  • Work with healthcare data systems including EHR integrations and healthcare interoperability platforms.
  • Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams.
  • Integrate with healthcare data standards and systems such as HL7, FHIR, Epic, or Cerner.
  • Design and optimize data models, warehouses, and data processing workflows.
  • Ensure applications and data platforms meet security, privacy, and HIPAA compliance requirements.
  • Monitor, debug, optimize, and maintain production data systems and applications.
  • Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers.
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