Clinical Data Engineer - Remote - Leveraging Data for Quality Healthcare - GCP, Python, SQL, and Cloud-Based Platforms
Join the Team Revolutionizing Healthcare with Data-Driven Insights Are you a skilled Clinical Data Engineer looking for a challenging remote role? Community Health Systems (CHS), one of the nation's leading healthcare providers, is seeking a talented professional to join our Clinical Data Science (CDS) team. As a Clinical Data Engineer, you will play a vital role in implementing and maintaining the data processes and pipelines that underpin the functions of our Physician Practice Services (PPS) teams. Enjoy the freedom and flexibility of working remotely, with occasional travel to Franklin, TN for in-person meetings. About Community Health Systems Community Health Systems is a leading healthcare provider, operating healthcare delivery systems in 40 distinct markets across 15 states. With 71 acute-care hospitals and over 1,000 other sites of care, including physician practices, urgent care centers, and imaging centers, CHS is committed to helping people get well and live healthier. Our Clinical Data Science team is at the forefront of leveraging data to provide evidence-based, safe, and quality healthcare to the communities we serve. Job Summary As a Clinical Data Engineer, you will be responsible for developing, deploying, and maintaining pipelines to import PPS resource data systems within a GCP environment. You will also partner with business owners to create service line data visualizations, project-specific data sets, reports, and automate existing manual data tasks. Your expertise in cloud-based platforms, Python, and SQL will be essential in driving the success of our CDS team. Key Responsibilities: Design, implement, and maintain data pipelines to import and transform external data sources for use in downstream analytics and machine learning Develop and deploy data pipelines within a GCP environment to support PPS resource data systems Partner with business owners to create service line data visualizations, project-specific data sets, and reports Automate existing manual data tasks and troubleshoot data anomalies and quality issues within the clinical data ecosystem Collaborate with CDS and PPS leaders and associated team members to ensure data-driven insights inform business decisions Requirements Essential Qualifications: Bachelor's degree in a technical field, including Clinical Analytics, Business Analytics, Data Science, Information Systems, Computer Science, Engineering, or related field from an accredited university or college One year of experience using Cloud-Based Platforms (e.g., Azure, AWS, GCP, Snowflake) to complete advanced data processing, including implementing data pipelines for structured and unstructured data One year of applied experience using Python and SQL to develop, test, and deploy data pipelines to import and transform external data sources for use in downstream analytics and machine learning Strong communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders Authorization to work and remain in the United States, without necessity for sponsorship now or in the future Preferred Qualifications: GCP Professional Cloud Data Engineer Certification Master's Degree Applied experience using cloud-based technologies for scalable data processing and analysis Experience working with large healthcare data (Clinical, Claims, Survey) What We Offer Compensation and Benefits: We offer a competitive salary and a comprehensive benefits package, including: Competitive salary starting at a market-leading rate Opportunities for professional growth and career advancement Comprehensive health insurance Retirement savings plan Paid time off and holidays Work Environment and Culture: Our remote work environment offers: Flexibility and autonomy to work from anywhere Opportunities for collaboration and connection with our team members A culture of innovation and continuous learning Recognition and rewards for outstanding performance Physical Demands To successfully perform this job, you should: Be able to read, review, prepare, and analyze written data and figures using a PC or similar Possess visual acuity Occasionally climb, push, stand, walk, reach, grasp, kneel, stoop, and/or perform repetitive motions Career Growth Opportunities and Learning Benefits As a Clinical Data Engineer at CHS, you will have opportunities to: Develop and deploy data pipelines within a GCP environment Work with large healthcare data sets to inform business decisions Collaborate with cross-functional teams to drive business outcomes Enhance your skills in cloud-based platforms, Python, and SQL Participate in ongoing training and professional development Why Join Us? By joining our team as a Clinical Data Engineer, you will: Be part of a leading healthcare provider committed to quality patient care Work on complex data engineering projects that drive business outcomes Enjoy a flexible and remote work environment Have opportunities for career growth and professional development Be part of a team that values innovation, collaboration, and continuous learning Take the Next Step Are you ready to join our team and make a difference in healthcare? Apply now and let's discuss how you can become a vital part of our success story. Apply for this job