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Data Engineer

30+ days ago 2026/08/07 Expires in 15 days
No experience required
Other Business Support Services
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Job description

Key Responsibilities
  • Design, build, and maintain data pipelines that extract, transform, and load data from source systems into reporting and analytics environments.
  • Develop and maintain the data warehouse / data mart structure to support operational, clinical, financial, and population health reporting.
  • Integrate data from multiple systems such as:
    • HIS / EMR
    • ERP / Finance
    • HR systems
    • Laboratory / Radiology / Pharmacy systems
    • Manual and external data sources
  • Clean, standardize, and validate data to improve data quality, consistency, and usability.
  • Build and maintain reusable datasets for Power BI dashboards, KPI tracking, and automated reporting.
  • Work with analysts and business stakeholders to translate reporting needs into structured data models.
  • Support the development of:
    • patient registries
    • physician registries
    • disease registries
    • performance and KPI datasets
  • Monitor pipeline performance, troubleshoot failures, and ensure timely data refresh.
  • Document data sources, logic, definitions, and transformations clearly.
  • Participate in data governance efforts, including master data standardization, metric definitions, and access controls.
  • Ensure compliance with organizational policies related to data privacy, security, and confidentiality.
Required Qualifications
  • Bachelor’s degree in:
    • Computer Science
    • Data Engineering
    • Information Systems
    • Software Engineering
    • or related field
  • Proven experience in data engineering, ETL development, or database development
  • Strong SQL skills
  • Experience with data integration and transformation tools
  • Experience working with relational databases and large datasets
  • Experience supporting BI/reporting environments
Preferred Qualifications
  • Experience in healthcare, hospital, or EMR/HIS data environments
  • Experience with:
    • Microsoft SQL Server
    • Azure Data Factory
    • SSIS
    • Python
    • Power BI backend support
  • Familiarity with healthcare data domains such as visits, billing, orders, labs, diagnoses, procedures, and registries
  • Understanding of data warehouse concepts such as:
    • star schema
    • fact and dimension tables
    • data modeling
    • data lineage
Key Skills
  • Strong SQL and database skills
  • ETL / ELT pipeline development
  • Data modeling
  • Problem-solving and troubleshooting
  • Attention to detail
  • Documentation and organization
  • Ability to work with both technical and non-technical stakeholders
  • Understanding of data quality and governance principles
Core Deliverables
  • Reliable automated data pipelines
  • Clean and validated reporting datasets
  • Structured data models for dashboards and KPIs
  • Better accessibility of data across departments
  • Reduced manual reporting effort
  • Improved readiness for enterprise analytics and value-based care initiatives

This job post has been translated by AI and may contain minor differences or errors.

Preferred candidate

Years of experience
No experience required
Degree
Bachelor's degree / higher diploma
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