"Data Engineer - Research Administration - JR008899"

Data Engineer - Research Administration

The Data Engineer - Wichita will be responsible for designing, developing, and maintaining data pipelines and databases to support clinical and population health research. Excellent communication skills and experience with requirements gathering are a must. This role requires strong technical skills and attention to detail.

Job Description

Key Roles and Responsibilities:

• Design, develop, and maintain data pipelines and databases to support clinical and population health research
• Transcode electronic health record (EHR) data (e.g., from eClinicalWorks) into common data models for use in research
• Act as an honest broker to prepare deidentified or limited datasets in compliance with institutional and regulatory policies
• Ensure data quality, security, and compliance with HIPAA, IRB, and institutional standards
• Collaborate with researchers and clinicians to gather data requirements and deliver technical solutions
• Develop and optimize analytic datasets for investigators and research teams
• Document data workflows, processes, and schema to support transparency and reproducibility
• Develop dashboards and data visualizations to support research and reporting needs
• Contribute to the development of infrastructure to support new data sources and research partnerships
• Participate in team meetings, training, and cross-campus collaboration to align with institutional research priorities

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.

Required Qualifications

Education:

• Bachelor's degree in computer science, information technology, informatics, or a related field. Education may be substituted for experience on a year for year basis.

Work Experience:

• 3 years of experience in data engineering, database management, or a related role, preferably in a healthcare or research setting.
• 2 years' experience working with SQL and database management systems (e.g., MySQL, MS SQL Server, PostgreSQL).
• 1 year experience with data integration tools and ETL (Extract, Transform, Load) processes.
• 1 year of experience working in a healthcare, clinical, or research data environment
• Knowledge of programming languages such as Python or R for data manipulation and analysis.

Preferred Qualifications

Education:

• Master's degree in biomedical informatics, computer science, data science, or a related field. Education may be substituted for experience on a year for year basis.

Work Experience:

• 2 years of experience working with healthcare data standards and systems (e.g., Epic, eClinicalWorks, REDCap, OMOP).
• 2 years of experience developing ETL processes in a cloud or distributed computing environment.
• 1 year of experience serving as an honest broker or handling deidentified/limited datasets in compliance with HIPAA and IRB protocols.
• 1 year of experience collaborating directly with clinical or academic research teams to gather data requirements and deliver technical solutions.
• Familiarity with clinical data standards and healthcare databases (e.g., Epic, CIBMTR, REDCap, OMOP).

Skills

• Strong problem-solving skills and attention to detail.
• Analytical thinking
• Excellent communication and interpersonal skills.
• SQL and relational database management
• ETL development and data integration
• Programming in Python or R
• Data documentation and workflow tracking
• Understanding of data privacy and security regulations (e.g., HIPAA)
• Collaboration with technical and non-technical stakeholders
• Clinical data standards (e.g., OMOP, HL7, FHIR)
• Cloud-based data platforms (e.g., AWS, Azure)
• EHR systems such as Epic or eClinicalWorks
• Data visualization and reporting tools (e.g., Tableau, Power BI)
• Natural Language Processing (NLP) or machine learning techniques
• Knowledge of version control systems (e.g., Git)

Required Documents

• Resume
• Cover Letter