Data Engineer, Lead- School of Medicine...

• 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.

PREFERRED QUALIFICATIONS:

Core Technical Stack:

• 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 GitHub 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

Data Engineering & Architecture:

• 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

• Healthcare Data Standards & Governance:

• 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

• Experience working with EMR data (Epic, Cerner) is a plus

• Experience gathering requirements and designing solutions in partnership with stakeholders and senior leadership

• Ability to articulate complex technical concepts to non-technical audiences

• Experience collaborating with subject matter expert data engineers in specialized domains

• Experience with advanced processing techniques such as natural language processing and machine learning

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.