Lead Clinical Data Engineer

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Overview

The Lead Clinical Data Engineer is a senior technical specialist responsible for leading the ongoing design and development of the Aligned Data Warehouse, a centralized data repository for biomedical research for Yale School of Medicine in Yale New Haven Health System. In this position, the Lead Clinical Data Engineer will work with manager and other members of the data warehouse team to expand the functionality and integrate new data sources into the ADW and other research databases. The ADW is built on the Microsoft SQL Server technology stack, with data extracted from research and clinical systems, especially the Epic’s data warehouse, and transformed into OHDSI’s Observational Medical Outcomes Partnership (OMOP) Common Data Model and other data marts. The ADW is integrated with Linux and Windows-based systems for natural language processing, Large Language Models and other GPU-based software. This work supports major national and regional research projects and data-sharing initiatives. Responsibilities include:

• Design, build, test, maintain, and control data pipelines and ETL jobs for integrating data into the ADW and other research databases. Such data pipelines are implemented in T-SQL stored procedures, SSIS, and SQL Agent jobs, Microsoft Fabric and make extensive use of metadata-driven dynamic SQL.
• Contribute to DevOps and documentation, developing standards and procedures for database and data pipeline design, operational management, and ongoing maintenance.
• Design, build, test, maintain, and control other processes for data management, including management and loading of flat files in a variety of formats (e.g., csv, tsv, pipe-delimited, XML, JSON).
• Facilitate design sessions, code walkthroughs, peer reviews and produce technical documentation, SOPs and KBAs.
• Performance tune database objects, stored procedures, ETL jobs, and related scripts to optimize both end-user customer queries and data pipeline ETL processing.
• Monitor scheduled ETL jobs and other processes to ensure expected functioning and uptime of data pipelines. Lead and/or coordinate the troubleshooting and remediation of all ETL job failures in a timely manner. On-call support is sometimes required.
• Deliver world-class customer service in all interactions with customers, stakeholders, and other teams. Maintain a customer-focused approach to provide solutions that are science/research-driven.
• Maintain patient privacy and the integrity and security of healthcare data in all databases and systems, including compliance with all applicable laws, regulations, and institutional policies related to its Institutional Review Board (IRB), patient privacy, and IT cybersecurity. These laws include, but are not limited to, the “Common Rule” (45 CFR Part 46), HIPAA (45 CFR Part 164), and 42 CFR Part 2.
• Independently investigate and stay abreast of new and emerging technologies that Scientific Computing & Data could leverage to provide new capabilities, boosting efficiencies or quality, and/or lower operating costs
• Lead projects and data stewardship strategies
• Work closely with DBA team and vendors to optimize data pipelines
• Assist with the design, build, test, and performance-tuning of reports and dashboards in SSRS, Microsoft Power BI, or similar business intelligence tools.
• Performs related duties as assigned or requested.

Required Skills and Abilities

1.Extensive experience developing, automating and optimizing data integration workflows with a focus on Microsoft Fabric Data Pipelines supporting large-scale data ingestion, transformation, and integration workloads.

2.Proven ability to design, develop, and optimize scalable data models, semantic layers, and storage architectures that support enterprise reporting, self-service analytics, operational intelligence, and advanced analytics initiatives.

3.Experience developing and maintaining Fabric Notebooks utilizing PySpark, Spark SQL, and related technologies for data transformation, enrichment, validation, and automation.

4.Demonstrated experience designing and implementing Microsoft Fabric Lakehouses, Warehouses, and enterprise data organization strategies that support governance, performance, security, and scalability requirements.

5.Ability to work collaboratively with business stakeholders, analysts, architects, and technical teams to translate complex business requirements into scalable data engineering solutions

Preferred Skills and Abilities

1.In -depth knowledge of associated technology areas that could impact area of responsibility; healthcare technology experience

2.Experience integrating electronic health record (EHR), clinical, research, financial or operational healthcare data in cloud based analytics platforms.

3.Certification and experience with Epic’s Clarity & Caboodle databases

4.Experience with the OMOP Common Data Model, PCORnet and other research data models and familiarity with research administrative systems including OnCore or IRES - IRB

Preferred Education and Experience

Master's degree

Experience in data engineering, analytics engineering, or data integration, including at least five (5) years designing, developing, and maintaining enterprise-scale healthcare data platforms, ETL processes, and cloud-based data solutions.

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Background Check Requirements

All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.

Health Requirements

Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.

Posting Disclaimer

Salary offers are determined by a candidate’s qualifications, experience, skills, and education in relation to the position requirements, along with the role’s grade profile and current internal and external market conditions.

The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department.

The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.

Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).

Note

Yale University is a tobacco-free campus.

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