Data Engineer - Cloud Pipelines & Lakehouse

Joint Commission International; Oakbrook Terrace (IL); On-site; USD 107,000 - 143,000; Full time

Job summary

Joint Commission International is seeking a Data Engineer to design, develop, and optimize scalable data pipelines and platforms using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. You will collaborate with analytics, BI, and business teams to transform requirements into reliable data assets supporting reporting and operations.

The role emphasizes secure data solutions, data governance, and ensuring data quality across data lakes, lakehouses, and warehouses, with a strong focus

Qualifications

• Bachelor’s degree in a related field and 5–7 years of data engineering experience.
• Experience designing and optimizing enterprise data pipelines and platforms using cloud technologies.
• Strong SQL and Python skills with knowledge of ETL/ELT processes.
• Experience with data lake, lakehouse, and data warehouse architectures.
• Familiarity with governance, security, and compliance considerations (GDPR/HIPAA).

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and optimize ingestion, transformation, and integration across sources.
• Develop and support data lakes, lakehouses, and data warehouses.
• Apply best practices for ETL/ELT, data quality, and performance.
• Collaborate with analytics, BI, and business teams to deliver reliable data assets.
• Document data structures, transformations, and dependencies.
• Contribute to evaluating new tools and standards.
• Ensure data solutions align with privacy and security requirements.

Skills

SQL

Python

ETL/ELT development

Data modeling

Data governance

Education

Bachelor’s degree in Computer Science / Information Systems / Data Engineering

Master’s degree in Computer Science / Information Systems / related fields

Tools

Azure Data Factory

Databricks

Microsoft Fabric

MSSQL

Job description

Joint Commission International is seeking a Data Engineer to design, develop, and optimize scalable data pipelines and platforms using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. You will collaborate with analytics, BI, and business teams to transform requirements into reliable data assets supporting reporting and operations.

The role emphasizes secure data solutions, data governance, and ensuring data quality across data lakes, lakehouses, and warehouses, with a strong focus