The Healthcare Data Engineer Administrator plays a crucial role in developing and implementing a set of techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning techniques to extract and analyze information from large structured and unstructured datasets. The Administrator visualizes, interprets, and reports data findings. Create dynamic and static data reports. Establishes and oversees data governance for healthcare operations. Manage and establish priorities for team members.
Requirements
- Proficient in programming languages such as Python and R, as well as data visualization tools such as Tableau and Power BI.
- Solid foundation in data analytics, machine learning, and statistical analysis, and can translate complex data into actionable insights for senior management.
- Proficient in Technology including Microsoft Office Tools, Teams, SharePoint, EPIC, etc.
- Minimum of 3 years of experience with data engineering and warehouse development.
- Implement data anonymization and encryption techniques and enforce strict access controls where needed.
- Monitor access controls and audit trails to prevent unauthorized access and safeguard patient data.
- Skill in Problem Solving and analytical skills, with a strong focus on improving patient care processes.
Responsibilities
- Apply data mining, data modeling, natural language processing, and machine learning techniques to extract and analyze information from large structured and unstructured datasets.
- Visualize, interpret, and report data findings.
- Create dynamic and static data reports.
- Implement robust data quality assurance processes, ensuring that data is accurate, complete, and reliable.
- Works closely with data engineers and data analysts to ensure data integrity throughout the data lifecycle.
- Establish data governance framework and enforce data management best practices.
- Leverage advanced analytics skills and techniques such as predictive modeling, machine learning, and data visualization to uncover actionable insights from vast amounts of data.
Other
- Under general supervision of the HHS CIO.
- Responsible for building and nurturing a high-performing team of report writers, Data visualization engineers, and other data analytic professionals.
- Hires top talent, provides ongoing training and development opportunities, and fostering a collaborative team culture.
- Ensure compliance with data regulations the Health Insurance Portability and Accountability Act of 1996 (HIPAA), protecting sensitive data and maintaining customer privacy.
- Ability to work professionally and collaboratively with all levels of leadership.
