Senior Data Engineer - Lead Cloud Data Pipelines

Community Health Systems; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Community Health Systems is seeking a Senior Data Engineer to design, build, and optimize scalable cloud data pipelines and infrastructure. The role focuses on managing structured and unstructured data to enable outcomes analysis, reporting, and data science across the organization.

You will mentor junior engineers, ensure data quality and security, and collaborate with architects and business partners to translate requirements into robust data solutions.

Qualifications

• Bachelor's degree in a related field.
• 5–8 years of data engineering experience.
• Strong SQL skills and data warehousing knowledge.
• Experience with cloud data platforms (AWS/Azure/GCP).
• Experience with Agile methodologies and version control.

Responsibilities

• Design and build scalable data pipelines in the cloud.
• Refactor and maintain complex SQL and ETL processes.
• Develop automation scripts and APIs for data workflows.
• Collaborate with architects, analysts, and stakeholders to translate requirements.
• Ensure data quality, integrity, and security across platforms.
• Lead root-cause analysis and mentor junior engineers.

Skills

Advanced SQL

Python / JVM

Cloud platforms

ETL/ELT

Data modeling

Agile / Git

Leadership

Communication

Education

Bachelor's degree in CS/IS

Tools

Git

CI/CD

SQL tooling

Job description

Community Health Systems is seeking a Senior Data Engineer to design, build, and optimize scalable cloud data pipelines and infrastructure. The role focuses on managing structured and unstructured data to enable outcomes analysis, reporting, and data science across the organization.

You will mentor junior engineers, ensure data quality and security, and collaborate with architects and business partners to translate requirements into robust data solutions.