Senior Cloud Data Engineer — Pipelines & Platforms

Joint Commission; Oak Brook (IL); On-site; USD 107,000 - 143,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Joint Commission is seeking a Data Engineer to design, develop, and optimize enterprise data pipelines and platforms using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. You will build scalable solutions supporting reporting, analytics, and operational needs, while ensuring data quality, security, and governance.

The role requires 5-7 years in data engineering with SQL and Python proficiency, and collaboration across analytics, BI, and business teams to translate requirements

Qualifications

• Bachelor's degree required in a related field.
• 5-7 years of data engineering, ETL/ELT, or cloud data platforms experience.
• Hands-on with Azure Data Factory, Databricks, Microsoft Fabric, and MSSQL.
• Strong knowledge of data lake, lakehouse, and data warehouse architectures.
• Proficiency in SQL and Python; familiarity with cloud platforms and big data.
• Ability to diagnose data issues and optimize performance.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data ingestion, transformation, and integration processes.
• Develop data lakes, lakehouses, and data warehouses using MSSQL and cloud platforms.
• Implement ETL/ELT best practices for performance and data quality.
• Automate data workflows and monitor pipeline health.
• Collaborate with analytics, BI, and business teams to translate requirements into solutions.

Skills

SQL proficiency

Python programming

Cross-functional collaboration

Analytical thinking

Education

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

Tools

Azure Data Factory

Databricks

Microsoft Fabric

MSSQL

Data Lake / Lakehouse concepts

ETL/ELT

Job description

Joint Commission is seeking a Data Engineer to design, develop, and optimize enterprise data pipelines and platforms using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. You will build scalable solutions supporting reporting, analytics, and operational needs, while ensuring data quality, security, and governance.

The role requires 5-7 years in data engineering with SQL and Python proficiency, and collaboration across analytics, BI, and business teams to translate requirements