Data Engineer III - OIT

Emory•Atlanta, GA

13d•Hybrid

About The Position

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. This role involves working as a positive team member on projects, managing workload effectively, and reporting status in a timely manner. The position requires forming tactical strategies to meet client goals, participating in the evaluation of emerging technologies, and developing proof-of-concepts. It also includes leading small technical teams, mentoring other analysts on regulation adherence, and following standard operational procedures and HIPAA regulations. The role focuses on developing strategies for managing complex data sets through maintaining data standards and metadata, applying biomedical informatics technical standards to research-specific program needs, and integrating disparate sources of data for improved reporting efficiency. Additionally, it involves creating architecture documentation for informatic solutions and performing other related duties as required.

Requirements

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

Nice To Haves

Proficiency in data pipeline orchestration (Airflow, DBT, Azure Data Factory, etc.)
Proficiency in Python, Scala, or similar languages
Proficiency with and proven ability to drive adoption of Microsoft Fabric, Azure Synapse, Snowflake, or Databricks
Working knowledge of design for interoperability and standards for healthcare informatics system (e.g., OMOP CDM, FHIR, etc.)
Working knowledge of code quality, CI/CD, and DevOps practices in data engineering
Working knowledge of and experience in development of AI/ML pipelines and feature engineering frameworks
Experience with integrating tools like ATLAS (OHDSI), ML platforms, or analytics tools for creating a data analytics dev environment for researchers
Experience with design and implementation of (or integration with) data governance, lineage, and cataloging solutions
Experience with design and implementation of HIPAA-compliant and secure data architectures where applicable
Working knowledge of data quality, observability, and validation frameworks
Working knowledge of and experience with implementing access control and privacy controls (RBAC/ABAC, de-identification)

Responsibilities

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, and within budget.
Manages workload effectively and report status of tasks in a timely manner.
Forms tactical strategies to meet client goals.
Participates in the evaluation of emerging technologies, developing proof-of-concepts, and promoting the usage of these emerging technologies.
Leads small technical teams, and mentors other analysts on regulation adherence.
Follows standard operational procedures and HIPAA regulations.
Mentors other analysts on regulation adherence.
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.
Integrates disparate sources of data for improved reporting efficiency and ease of use.
Creates architecture documentation related to current and proposed informatic solutions.
Performs other related duties as required.