Lead Data Engineer, Scalable Cloud Pipelines

Community Health Systems; Franklin (TN); On-site; USD 110,000 - 160,000; Full time

Job summary

Community Health Systems is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data infrastructure across the enterprise.

You will ensure data quality, security, and performance across platforms while mentoring junior engineers and collaborating with analysts and stakeholders to translate requirements into robust data solutions. This role requires 5–8 years of experience, advanced SQL, and Python or JVM for data manipulation on cloud platforms.

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Data Management, or related field.
• 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 for data manipulation and automation.
• Hands-on experience with cloud data platforms (AWS/Azure/GCP).
• Solid understanding of ETL/ELT, data modeling, and data architecture.
• Track record of owning and leading technical projects; experience with Agile.

Responsibilities

• 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.

Skills

Advanced SQL

Data modeling

Python/JVM

Cloud data platforms

Analytical thinking

Leadership & mentoring

Cross-functional collaboration

Education

Bachelor's degree in IS/CS/Data

Tools

AWS

Azure

GCP

Job description

Community Health Systems is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data infrastructure across the enterprise.

You will ensure data quality, security, and performance across platforms while mentoring junior engineers and collaborating with analysts and stakeholders to translate requirements into robust data solutions. This role requires 5–8 years of experience, advanced SQL, and Python or JVM for data manipulation on cloud platforms.