Research Informatics Data and Integration Engineer

Emory Healthcare•Tucker, GA

12h

About The Position

As a Research Informatics Data and Integration Engineer IV at Emory Healthcare, you will expertly design, manage, and integrate advanced data systems that drive clinical research initiatives. This crucial role combines data architecture with database administration and ETL development to ensure a secure, reliable, and scalable research data infrastructure across diverse clinical and scientific domains.

Requirements

Bachelors degree from a recognized college or university with major course work in computer science, Information Technology, engineering, or equivalent related experience.
A minimum of 7 years of progressive experience in application systems/administration OR 9 years of experience without a degree.
Prefer proficiency in at least two computer languages used currently in production.
Must be able to lead problem solving efforts when mission critical systems are interrupted.

Nice To Haves

5+ years of hands-on experience as a Data Architect, Database Administrator, or ETL Developer in research, healthcare, or life sciences settings.
Advanced proficiency with SQL and experience managing relational databases (PostgreSQL, Oracle, SQL Server, or MySQL).
Experience with ETL tools such as Informatica, Talend, SSIS, Apache Airflow, or custom data workflows in Python or R.
Understanding of data modeling principles, data warehousing, and schema design.
Familiarity with EHR systems (Epic, Cerner) and research data standards such as FHIR, HL7, OMOP, or CDISC.
Strong knowledge of data security, privacy, and regulatory frameworks (HIPAA, 21 CFR Part 11).
Hands-on experience with cloud data services (AWS, Azure, GCP) and infrastructure automation.

Responsibilities

Design and maintain logical and physical data architectures supporting research data integration, analytics, and regulatory compliance.
Develop and manage robust ETL pipelines to extract, transform, and load data from electronic health records (EHRs), laboratory systems, and research data repositories.
Administer and optimize databases across research platforms, ensuring high performance, stability, and data integrity.
Collaborate with data scientists, clinicians, and bioinformaticians to support multidisciplinary data workflows.
Implement data models aligned with institutional data governance frameworks and research metadata standards.
Work with system administrators and DevOps teams to automate data workflows using modern orchestration tools.
Enforce policies for HIPAA, IRB, and institutional data privacy compliance across research computing environments.
Support data harmonization across institutional and external research collaborations and consortia.
Maintain data dictionaries, schema documentation, and data lineage tracking for reproducibility and compliance audits.
Evaluate and incorporate new technologies for data integration, cloud migration, and performance optimization.