Back to search
Facility:
Primrose Place: 1115 E Primrose, Springfield, Missouri, United States of America, 65807Department:
1676 Enterprise Data and AnalyticsScheduled Weekly Hours:
40Hours:
8:00 AM - 5:00 PMWork Shift:
Day Shift (United States of America)CoxHealth is a leading healthcare system serving 25 counties across southwest Missouri and northern Arkansas. The organization includes six hospitals, 5 ERs, and over 80 clinics. CoxHealth has earned the following honors for workplace excellence:
- Named one of Modern Healthcare’s Best Places to work five times.
- Named one of America’s Greatest Workplaces by Newsweek.
- Recognized as a Greatest Workplace for Women in both 2023 and 2024.
- Listed as one of the Greatest Workplaces for Diversity in 2024.
- Acknowledged by Forbes as one of the Best Employers for New Grads.
- Ranked among the Best Employers by State for Missouri.​
- Healthcare Innovation's Top Companies to Work for in Healthcare in 2025.
Benefits
- Medical, Vision, Dental, Retirement Plan with employer match, and many more!
- For a comprehensive list of benefits, please click here:Â Benefits | CoxHealth
Job Description:
The Senior Data Engineer will lead the design and implementation of robust data solutions. The incumbent will be a key player in decision-making processes, with an emphasis on scalability and long-term strategic planning. The role requires advanced technical knowledge, leadership skills, and a thorough understanding of data governance and compliance. Education: ▪ Preferred: Bachelor's degree in Management Information Systems, Computer Science, Data & Analytics other quantitative discipline or equivalent experience Experience: ▪ Required: 4 years of experience with data related to clinical, financial, or other enterprise domains OR Bachelor degree in Computer Science, Information Systems, Data & Analytics, or other quantitative discipline and 2 years of experience. Skills: • Expertise in relational and non-relational databases. • Proficient in data integration and orchestration tools. • Advanced skills in big data technologies (Hadoop, Spark, etc.). • Strong experience with data lakes and data warehouse technologies. • Leadership abilities and experience in strategic planning. • Excellent communication and project management skills. Licensure/Certification/Registration: ▪ N/ALearn more about this Employer on their Career Site
