Facility:

Primrose Place: 1115 E Primrose, Springfield, Missouri, United States of America, 65807

Department:

1676 Enterprise Data and Analytics

Scheduled Weekly Hours:

40

Hours:

8:00 AM - 5:00 PM

Work 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: 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/A