Senior Data Engineer

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

Summary:
The Senior Data Engineer designs, builds, and optimizes scalable data pipelines and cloud-based data infrastructure. This role is critical to managing and organizing structured and unstructured data across the organization to enable outcomes analysis, insights, compliance, reporting, business intelligence, and data science. The Senior Engineer ensures data quality, security, and performance across platforms while providing technical leadership and mentorship to junior engineers.

• Design and build efficient, scalable data pipelines using cloud services
• Maintain and refactor complex SQL and ETL processes in enterprise data platforms
• Develop automation scripts, APIs, and infrastructure components
• Collaborate with architects, analysts, and stakeholders to translate requirements
• Ensure strong data quality, integrity, and security controls across platforms
• Troubleshoot complex data issues and lead root cause analysis
• Advanced SQL and strong data modeling expertise
• Proficiency in Python or JVM languages for data engineering and automation
• Deep knowledge of cloud-based data patterns, distributed systems, and modern data architectures
• Strong analytical reasoning and problem-solving abilities
• Ability to lead delivery efforts and mentor junior team members
• Clear communication skills with the ability to explain technical concepts to non-technical audiences
• Ability to work independently and collaborate effectively in cross-functional environments

Minimum Qualifications:

• Bachelor’s degree in Information Systems, Computer Science, Data Management, or related field preferred
• 5–8 years of experience in data engineering or a similar role
• Strong SQL skills and deep knowledge of relational databases and data warehousing
• Proficiency in Python or JVM languages (e.g., Java, Scala, Kotlin) for data manipulation and automation
• Hands-on experience with cloud data platforms (e.g., AWS, Azure, or GCP)
• Solid understanding of ETL/ELT processes, data modeling, and data architecture
• Track record of owning and leading technical projects
• Experience with Agile methodologies and version control

Job Info

• Job Identification 146053
• Job Category Information Technology
• Posting Date 03/11/2026, 07:56 PM
• Job Schedule Full time
• Job Shift Day
• Locations 4000 Meridian Blvd, Franklin, TN, 37067, US