Data Engineer III

Emory University

. Works as a positive team member on projects involving Business Analysts, Project Managers, Information Architects, Data Analysts, and/or Database Administrators .

Posted 11/3/2026full-timeAtlanta • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data pipeline orchestration, data governance, and healthcare informatics standards while effectively leading technical teams and mentoring analysts. Proficient in developing secure data architectures and integrating emerging technologies to enhance data analytics capabilities.

Highest-signal resume keywords

Data Pipeline OrchestrationPython ProgrammingMicrosoft Fabric AdoptionHIPAA ComplianceAI/ML Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline OrchestrationPythonScalaMicrosoft FabricAzure SynapseSnowflakeDatabricksAI/ML PipelinesData GovernanceData Quality Frameworks

Soft Skills

Team CollaborationMentoringEffective CommunicationWorkload ManagementStrategic Planning

Tools & Technologies

AirflowDBTAzure Data FactoryATLAS (OHDSI)ML PlatformsAnalytics Tools

Industry Keywords

Healthcare InformaticsOMOP CDMFHIRCI/CDDevOpsData ArchitectureRegulatory AdherenceMetadata ManagementInteroperability StandardsAccess Control

Tech Stack

Tools & technologies

AirflowAzurePythonScalaSnowflake

About the role

Key responsibilities & impact

Works as a positive team member on projects involving Business Analysts, Project Managers, Information Architects, Data Analysts, and/or Database Administrators
Delivers quality applications and components within scope, on time, and within budget
Manages workload effectively and reports task status in a timely manner
Forms tactical strategies to meet client goals
Evaluates emerging technologies, develops proof-of-concepts, and promotes adoption of emerging technologies
Leads small technical teams and mentors analysts on regulatory adherence
Follows standard operational procedures and HIPAA regulations
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 data sources to improve reporting efficiency and ease of use
Creates architecture documentation for current and proposed informatics solutions
Performs other related duties as required

Requirements

What you’ll need

A 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
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 systems (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 development 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)
Must be able to commute to Emory University as needed and sometimes on short notice

Benefits

Comp & perks

Opportunity to work from home regularly
Equal opportunity employment
Reasonable accommodations for qualified individuals with disabilities