Data Engineer III (OIT)
About The Position
The Data Engineer III works as a positive team member on projects with colleagues such as Business Analysts, Project Managers, Information Architects, Data Analysts, and Database Administrators to deliver quality applications and components within scope, on time, and within budget. The role manages workload effectively, reports task status in a timely manner, and forms tactical strategies to meet client goals. The position participates in evaluating emerging technologies, developing proof-of-concepts, and promoting adoption of emerging technologies. It leads small technical teams and mentors analysts on regulatory adherence. The role follows standard operational procedures and HIPAA regulations; develops strategies for managing complex data sets by maintaining data standards and metadata; and applies biomedical informatics technical standards, methodologies, and principles to research program needs, objectives, and outcomes. The Data Engineer III integrates disparate data sources to improve reporting efficiency and usability, creates architecture documentation for current and proposed informatics solutions, and performs other related duties as required. The role may work from home regularly but must be able to commute to an Emory University location as needed, sometimes on short notice. Emory may change this work arrangement with notice.
Requirements
- 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 tools such as Airflow, DBT, or Azure Data Factory.
- 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 healthcare informatics system interoperability design and standards such as OMOP CDM and FHIR.
- Working knowledge of code quality, CI/CD, and DevOps practices in data engineering.
- Working knowledge of and experience developing AI/ML pipelines and feature engineering frameworks.
- Experience integrating tools such as ATLAS (OHDSI), ML platforms, or analytics tools to create 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 of and experience implementing access control and privacy controls such as RBAC/ABAC and de-identification.
Responsibilities
- Collaborate with project teams to deliver quality applications and components within scope, on time, and within budget.
- Manage workload effectively and report task status in a timely manner.
- Form tactical strategies to meet client goals.
- Participate in evaluating emerging technologies, developing proof-of-concepts, and promoting adoption of emerging technologies.
- Lead small technical teams.
- Mentor analysts on regulatory adherence.
- Follow standard operational procedures and HIPAA regulations.
- Develop strategies for managing complex data sets by maintaining data standards and metadata.
- Apply biomedical informatics technical standards, methodologies, and principles to research-specific program needs, objectives, and outcomes.
- Integrate disparate data sources to improve reporting efficiency and ease of use.
- Create architecture documentation for current and proposed informatics solutions.
- Perform other related duties as required.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
