Healthcare Data Solutions Engineer

NYC Health + Hospitals; New York (NY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

NYC Health + Hospitals seeks a senior data systems consultant to advise on complex data processing problems and system feasibility. You will participate in the design of computer-based information systems for MIS development with emphasis on integration and cost efficiency.

The role covers enterprise data archival, governance, database design, and both structured and unstructured data analysis, with a hybrid work schedule as needed.

Qualifications

• Healthcare environment experience is required.
• Experience with C#/.NET, Angular is required.
• Proficiency in Python and PowerShell is required.
• Experience with Ellkay solutions is highly preferred.
• Experience in enterprise data archival and governance is highly preferred.
• Experience in database design and development is required.
• Experience in structured and unstructured data analysis is required.
• Minimum education: bachelor's degree in a related field.

Responsibilities

• Advise on complex data processing problems and system feasibility.
• Develop designs for feasibility studies and analyze project requests.
• Recommend standards for uniform data methods and interoperability.
• Maintain technical competence in ERP/EDP technologies and MIS applications.
• Assist in network/operations planning and problem resolution for data systems.

Skills

Healthcare environment experience

C#/.NET

Angular

Python/PowerShell

Ellkay

Enterprise data archival

Data governance

Database design

Structured data analysis

Unstructured data analysis

Education

Baccalaureate Degree in Computer Science or related field

Tools

SQL

Job description

NYC Health + Hospitals seeks a senior data systems consultant to advise on complex data processing problems and system feasibility. You will participate in the design of computer-based information systems for MIS development with emphasis on integration and cost efficiency.

The role covers enterprise data archival, governance, database design, and both structured and unstructured data analysis, with a hybrid work schedule as needed.