Data Engineer, Lead- School of Medicine Information Technology

Emory University is a leading research university that fosters excellence and attracts world‑class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.

Works as a positive team member of a project that may consist of Business Analysts, Project Managers, Information Architects, Data Analysts, and/or Database Administrators to deliver quality applications and components within scope, on time, within budget, and ensures compliance.

Manages workload effectively and report status of tasks in a timely manner. Is able to guide stakeholders on solutions and support structure. Ensures proper governance of prioritizing work from partners.

Forms tactical strategies to support multiple clients.

Leads and proactively identifies emerging technologies; develops proof‑of‑concepts, and promotes the usage of these emerging technologies.

Leads small to medium size technical teams, and mentors other analysts on regulation adherence.

Follows standard operational procedures and HIPAA regulations.

Develops strategies for managing complex data sets through maintaining data standards and metadata.

Applies biomedical informatics technical standards, methodologies, and principles to research‑specific program needs, objectives, and outcomes.

Develops reporting infrastructure to meet multiple client needs.

Generates standard templates for architecture documentation related to current and proposed informatic solutions.

Performs other related duties as required.

• A bachelor's degree in a related field and seven years of related experience, OR an equivalent combination of education, training, and experience.

• Hands‑on experience with Snowflake or similar cloud data warehouse platforms
• Experience with dbt (data build tool) for data transformations
• Experience with Apache Airflow or similar workflow orchestration tools
• Proficiency with Git Hub in a CI/CD environment, including pull requests, code reviews, and automated testing
• 5+ years experience with AWS cloud solutions (S3, IAM, infrastructure)
• Strong SQL skills and experience with RDBMS (Oracle, SQL Server, MySQL, PostgreSQL)
• Python or similar scripting language proficiency

• Experience designing and implementing large‑scale data warehouses and ETL/ELT pipelines
• Understanding of relational and non‑relational data models with direct modeling experience
• Experience with script optimization and automating data solutions
• Knowledge of Linux/Unix commands and shell scripting

• Experience with OMOP Common Data Model or similar standardized healthcare data models (PCORnet, FHIR, i2b2)
• Demonstrated experience with complex data mapping and transformation to standardized schemas
• Experience implementing role‑based access control (RBAC) with complex permission structures
• Understanding of object‑level sharing and data access governance in multi‑user environments
• 5+ years in a healthcare or university research setting

NOTE:

Tasks related to this position can be performed remotely with only occasional visits to an Emory University location. Eastern (EST) time zone business hours may apply. Emory reserves the right to change this status with notice to employee. Emory does not approve as a primary work location in the following states; NJ, AK, and HI, any U.S. Territories or outside of the United States.

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran…