Sr. Data Engineer

IT@JH Research Data Analytics and Engineering is seeking a Sr. Data Engineer who will design and deploy complex data architectures and support data integration, curation, and analysis to meet the diverse needs of the Johns Hopkins University and Johns Hopkins Medicine research community. Research IT is a growing and developing area within the IT@JH organization. This role will help support and implement a new set of service offerings for the Research Data Analytics and Engineering unit being rolled out under the Office of the Deputy CIO. The objective of this unit is supporting and advancing the management of research data across its lifecycle.

Specific Duties & Responsibilities 

• Responsible for the design, deployment, standards, and performance of the research data architecture managed by IT@JH.
• Plays an important role supporting the implementation and use of enterprise research data assets and products.
• Works closely with investigators to understand the data, integration needs, source systems, quality standards, reporting, and analytic requirements.
• Ensures solutions leverage best practice, secure, and compliant architectures and are implemented in accordance with institutional, local, and federal policies.
• Engages directly with end-users, facilitates modeling sessions, writes business and technical requirements, creates standards and best practices, designs solutions and implements development.
• Participates in project planning to ensure effective use of technology and/or business process to meet customers’ needs.
• Performs discovery to understand data and process flows and impact on how data is generated, normal data values, and potential reasons for anomalies.
• Integrates multiple complex processes and disciplines to meet business and technical requirements.
• Identifies areas for data quality improvement and operational efficiency.
• Assists with troubleshooting and fine tuning of workflows and enterprise data products.

Specific Devices, Software, Projects 

• Supports a complex and dynamic portfolio of projects which could include translation and curation of observational data into the OMOP CDM, data pipelines and best practice architectures to curate multimodal datasets for clinical research, efficient movement of large data volumes into HPC environments for data analysis, and preparation and configuration of research data for use in AI initiatives.
• Projects will leverage IT@JH managed software and involve a variety of data storage and analytics platforms, both on-prem and cloud-based, including Azure, AWS, Databricks, RStudio, and python, among others.

Scale/size of Area, Project and/or System Supported 

• The portfolio is dynamic and includes smaller, less complex projects as well as highly complex, larger initiatives. Projects may be short-term or multi-year efforts. The candidate will need to engage with individual contributors and leaders in a variety of roles and levels within the University and Medicine organizations.

Special Knowledge, Skills & Abilities

• Strong communication skills, both written and verbal, with the ability to translate technology concepts to non-technical audiences.
• Strong understanding of IT concepts, development life cycles and best practices.
• Ability to communicate honestly and transparently with all levels of an organization while maintaining professionalism and respect.
• Must be well-organized, detail-oriented, a self-starter and proactive.
• Ability to effectively navigate and drive multiple priorities and balance conflicting demands.
• Proven success meeting project deadlines and timelines.
• Strong critical thinker with problem solving aptitude and analytical abilities.
• Must embrace and advance Johns Hopkins’ commitment to the dignity and equality of all persons, inclusive of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, and veteran status.

Supervisory Responsibility

• None, however, will support mentorship and training for more junior engineers/developers.

• Bachelor's Degree.
• Five years of related work experience focused within data engineering.
• Experience managing and supporting data pipelines for enterprise data products.
• Experience with modern ETL tools and techniques.
• At least 5 years of hands-on experience with data integration, particularly for research.
• Experience with python and cloud lakehouse environments such as Databricks, Microsoft Fabric, or Snowflake.
• Additional education may substitute for required experience and additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula.

• Experience with data standards such as controlled vocabularies (e.g., SNOMED, LOINC, ICD) and the OMOP common data model.
• Experience working with EHR data, particularly EPIC data models such as Clarity and Caboodle
• Experience working with a variety of data types such as semi-structured and unstructured data.
• Experience working in a highly decentralized, consensus-driven environment, such as an academic institution.
• Experience directly engaging with end users to understand requirements and implement successful architectures.

Classified Title: Sr. Business Intelligence Developer 
Job Posting Title (Working Title): Sr. Data Engineer   
Role/Level/Range: ATP/04/PG  
Starting Salary Range: $99,800 - $175,000 Annually (Commensurate with experience) 
Employee group: Full Time 
Schedule: Mon-Fri 8:30am-5:00pm 
Exempt Status: Exempt 
Location: Remote 
Department name: IT@JH Rsrch Data Analytics & Engineering  
Personnel area: University Administration