Research Data Engineer II (IT@JH Univ Data Analytics & Engineering)

Responsibilities

• Participate in the design, production, and ongoing maintenance of data pipelines for data acquisition, management, transformation, and back-end code development powering data-centric web applications.
• Develop and sustain ETL/ELT processes across structured and unstructured data sources.
• Build and maintain web data scraping systems for automated data collection.
• Assist in data architecture design and provide continuous operational support.
• Handle input/output operations with databases and execute data queries.
• Create scripts to clean, transform, and analyze datasets.
• Deploy production data pipelines within data warehousing environments.
• Develop production software to monitor data quality and detect anomalies.
• Perform daily data quality assurance tasks.
• Support, maintain, and troubleshoot the software infrastructure.
• Source data, conduct analyses, visualize results, and generate insights to inform ongoing research projects and internal requests.
• Collaborate with developers, analysts, data scientists, researchers, policy experts, and other partners.
• Communicate with division leadership and team members to align on requirements and progress.
• Engage with external partners, contractors, and vendors as needed.
• Undertake other duties as assigned.

Requirements

• Bachelor’s Degree.
• At least five years of related experience focused on database management and design plus business requirements gathering.
• Equivalency options may substitute education or experience per the JHU policy, as outlined in the job description.
• Experience with data standards such as SNOMED, LOINC, ICD, and the OMOP common data model.
• Experience working with electronic health record data, especially EPIC data models such as Clarity and Caboodle.
• Experience handling diverse data types, including semi-structured and unstructured data.
• Experience in a decentralized, consensus-driven environment typical of academic institutions.
• Proven ability to engage end users to understand requirements and implement effective architectures.
• Strong knowledge of data warehouse concepts, data management practices, and database development.
• Proficiency in SQL, including query writing and performance tuning, and familiarity with database technologies.

Technologies

• Databricks
• Microsoft Fabric
• Python
• SQL
• Clarity
• Caboodle

Affiliated Office Address

Baltimore, MD, United States

Requisition ID

121358

Date Created

May 25, 2026

Job Family / Subfamily

Data Management

Job Function

Information Technology

Exempt Status

Exempt

Work Arrangement & Schedule

Remote: Not on-site or less than 10% on-site hours. Worksite listed as 46-MD:JH at Harbor East. Schedule is Monday through Friday, 8:30 am to 5:00 pm.

Total Rewards & Benefits

The base salary range represents Johns Hopkins University’s stated range for this position; final compensation depends on location, experience, and qualifications. Johns Hopkins offers a comprehensive total rewards package supporting health, life, career, and retirement needs. Further details are available through the university benefits resources.