Data Engineer III (OIT)

Emory University is hiring a Data Engineer III (OIT) for a hybrid role in Atlanta, GA 30322. This position focuses on delivering quality data applications and components, improving how data supports research, and applying biomedical informatics standards. You will also have the opportunity to work from home regularly, while maintaining the ability to commute to campus as needed, including at times and on short notice.

What you will do

• Collaborate as a positive team member on projects that may include Business Analysts, Project Managers, Information Architects, Data Analysts, and Database Administrators to deliver quality applications and components within scope, on time, and within budget.
• Manage workload effectively and report task status in a timely manner.
• Develop tactical strategies aligned to client goals.
• Evaluate emerging technologies by creating proof-of-concepts and supporting adoption of new approaches when appropriate.
• Lead small technical teams and mentor other analysts, including guidance on regulation adherence with emphasis on HIPAA and standard operational procedures.
• Apply biomedical informatics technical standards, methodologies, and principles to research program needs, objectives, and outcomes.
• Integrate disparate data sources to improve reporting efficiency and usability.
• Maintain data standards and metadata to help develop strategies for managing complex data sets.
• Create architecture documentation for current and proposed informatics solutions.
• Perform other related duties as required.

Requirements

• Bachelor’s degree in a related field and five years of related experience, or an equivalent combination of education, training, and experience.
• Proficiency in data pipeline orchestration (Airflow, DBT, Azure Data Factory, etc.).
• Proficiency in Python, Scala, or similar languages.
• Proven ability to drive adoption of Microsoft Fabric, Azure Synapse, Snowflake, or Databricks.
• Working knowledge of interoperability and healthcare informatics system standards (e.g., OMOP CDM, FHIR).
• Working knowledge of code quality, CI/CD, and DevOps practices in data engineering.
• Working knowledge and experience implementing AI/ML pipelines and feature engineering frameworks.
• Experience integrating tools such as ATLAS (OHDSI), ML platforms, or analytics tools to build a data analytics development environment for researchers.
• Experience designing and implementing (or integrating with) data governance, lineage, and cataloging solutions.
• Experience designing and implementing HIPAA-compliant and secure data architectures, where applicable.
• Working knowledge of data quality, observability, and validation frameworks.
• Working knowledge and experience implementing access control and privacy controls (RBAC/ABAC, de-identification).

Tools and technologies

Airflow, DBT, Azure Data Factory, Python, Scala, Microsoft Fabric, Azure Synapse, Snowflake, Databricks, OMOP CDM, FHIR, CI/CD, DevOps, AI/ML pipelines, feature engineering frameworks, ATLAS (OHDSI), RBAC, ABAC.

Work-from-home note

This role includes the opportunity to work from home regularly; however, the employee must be able to commute to the Emory University location as needed and at times, on short notice. Emory reserves the right to change this status with notice to the employee.