Research Data Engineer: CDMs, ETL & SQL Analytics

Medical University of South Carolina; Town of Charleston (NY); On-site; USD 52,000 - 89,000; Full time

Job summary

The Medical University of South Carolina is seeking a data-focused professional to maintain CDMs, develop ETL scripts, and ensure data integrity for research projects. This role collaborates with PM teams to translate data requirements into actionable data models and reports.

Responsibilities include writing SQL queries, evaluating ETL tools, preparing dashboards and publications, and handling research data requests. A strong background in data management and collaboration is essential.

Qualifications

• High school diploma and 3 years of work experience in modification and maintenance of system programs or related field.
• An associate’s degree or a bachelor’s degree in a related field may substitute for the required work experience.

Responsibilities

• Develop and run SQL queries for research data requests and verify results for research projects.
• Evaluate ETL tools/solutions as data sizes grow and maintain/modify or develop new ETL to support projects.
• Prepare reports for research colleagues, leadership, scientific publications and presentation.
• Gather data requirements for new and existing funded studies and collaborate with data owners.
• Collaborate with team members and PMs to ensure tasks are completed in a timely manner.

Skills

SQL

ETL development

Data analysis

Reporting

Data requirements gathering

Collaboration

Education

High school diploma

Associate's or Bachelor's degree in related field

Tools

ETL tools

SQL

Job description

The Medical University of South Carolina is seeking a data-focused professional to maintain CDMs, develop ETL scripts, and ensure data integrity for research projects. This role collaborates with PM teams to translate data requirements into actionable data models and reports.

Responsibilities include writing SQL queries, evaluating ETL tools, preparing dashboards and publications, and handling research data requests. A strong background in data management and collaboration is essential.