Hybrid work in Atlanta with opportunities to contribute to biomedical informatics solutions at Emory University. In this Data Engineer III role, you will help deliver high-quality data applications and components, integrate complex datasets, and support research-focused outcomes while collaborating with a range of technical and project stakeholders.
What you’ll do
- Collaborate with a project team that may include Business Analysts, Project Managers, Information Architects, Data Analysts, and/or Database Administrators to deliver quality applications and components within scope, timeline, and budget.
- Manage workload effectively and provide timely task status updates.
- Develop tactical strategies aligned to client goals.
- Evaluate emerging technologies by creating proof-of-concepts and promoting adoption where appropriate.
- Lead small technical teams and mentor other analysts on regulation adherence, following standard operational procedures and HIPAA regulations.
- Guide strategies for managing complex data sets by maintaining data standards and metadata.
- Apply biomedical informatics technical standards, methodologies, and principles to meet program needs, objectives, and outcomes.
- Integrate disparate data sources to improve reporting efficiency and usability.
- Create architecture documentation for current and proposed informatics solutions.
- Perform other related duties as required.
What you’ll bring
- Bachelor’s degree in a related field and 5 years of related experience, or an equivalent combination of education, training, and experience.
- Proficiency in data pipeline orchestration tools such as Airflow, DBT, and Azure Data Factory (or similar).
- Proficiency in Python, Scala, or similar languages.
- Proven ability to drive adoption of Microsoft Fabric, Azure Synapse, Snowflake, or Databricks.
- Working knowledge of interoperability design and healthcare informatics standards (for example, OMOP CDM and FHIR).
- Working knowledge of code quality practices, CI/CD, and DevOps 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 data governance, lineage, and cataloging solutions (or integration with them).
- Experience designing and implementing HIPAA-compliant and secure data architectures where applicable.
- Working knowledge of data quality, observability, and validation frameworks.
- Working knowledge of implementing access control and privacy controls, including RBAC and ABAC, and supporting 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
Location and work arrangement
Atlanta, GA 30322 (hybrid). This role includes the opportunity to work from home regularly, with the requirement to commute to Emory University as needed, including at times on short notice. Emory reserves the right to change this status with notice to the employee.
