Senior Data Engineer - Remote

Job description

Our Benefits
• Comprehensive Health Coverage: Medical, dental, and vision plans to keep you and your family healthy.
• Competitive Pay & Full Benefits: A salary and package designed to reward your expertise and dedication.
• Paid time off
• Flexible scheduling
• Future Security: 401(k) with matching.

Job Summary
The Data Engineer, Senior (remote) designs, develops, and optimizes scalable data pipelines and cloud-based data infrastructure. This role manages and organizes structured and unstructured data to support outcomes analysis, reporting, business intelligence, data science, compliance, and operational decision-making. The Data Engineer, Senior helps ensure data quality, security, and performance across platforms while providing technical leadership and guidance to less experienced engineers.
Essential Functions
• Designs and develops efficient, scalable data pipelines using cloud-based services.
• Maintains and refactors complex SQL and extract, transform, and load processes within enterprise data platforms.
• Develops automation scripts, application programming interfaces, and infrastructure components.
• Collaborates with architects, analysts, and stakeholders to translate business and technical requirements into data solutions.
• Ensures appropriate data quality, integrity, security, and performance controls across platforms.
• Troubleshoots complex data issues and leads root-cause analysis efforts.
• Provides technical guidance and supports the development of less experienced engineers.
• Performs other duties as assigned.
• Maintains regular and reliable attendance.
• Complies with all policies and standards.

Qualifications
• Bachelor's Degree in Information Systems, Computer Science, Data Management, or a related field; or the equivalent required
• 5-7 years of experience in data engineering, data development, or a related field required
• Experience leading technical projects or major data engineering initiatives required

Knowledge, Skills and Abilities
• Advanced SQL skills and strong knowledge of relational databases, data warehousing, and data modeling.
• Proficiency in Python or Java Virtual Machine-based languages, such as Java, Scala, or Kotlin, for data engineering and automation.
• Deep knowledge of cloud-based data patterns, distributed systems, and modern data architectures.
• Strong understanding of extract, transform, and load and extract, load, and transform processes.
• Strong analytical reasoning, troubleshooting, and problem-solving skills.
• Ability to lead technical delivery efforts and manage complex projects.
• Clear communication skills and the ability to explain technical concepts to non-technical audiences.
• Ability to work independently and collaborate effectively in cross-functional environments.
• Experience with Agile methodologies and version control practices.

We know it’s not just about finding a job. It’s about finding a place where you are respected, valued and where your work is purposeful and fulfilling. A place where your talent is recognized, professional development is encouraged and career advancement is possible.
Community Health Systems is one of the nation's leading healthcare providers. With healthcare delivery systems in 36 distinct markets across 14 states, CHS operates 69 affiliated hospitals with more than 10,000 beds and approximately 1,000 other sites of care, including physician practices, urgent care centers, freestanding emergency departments, imaging centers, cancer centers, and ambulatory surgery centers.