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.