Data Visualization Developer (Hybrid - Columbus, OH)

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.

 

Summary

 

As a Data Visualization Developer (Hybrid - Columbus, OH) at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.​

Your role in our mission

Design your career for growth, new possibilities and refining your valuable skills:​

 

• The position supports required analytics, report design, data integration and transformation process crucial to the function of the Gainwell Technologies Data Analytics Services for our customers. 
• You will work with the client to develop critical reports, research analysis, and design Builds mapping documents, acting on feedback from Gainwell stakeholders, team leaders, clients, and vendors.
• Determines best practices and provides suggestions on how to improve current operational process and practices.
• Work closely with analysts and engineers to deploy solutions in batch and real-time while systematically tracking model performance.
• Build complex data sets and flows from multiple data sources using SQL and Python.
• Present findings to both technical and non-technical audiences, inclusive of Medicaid clients.
• Assist engagements with key business stakeholders relative to business opportunities.
• Be an evangelist driving wider adoption of analytics across the enterprise.
• Design data science projects delivering innovative technical solutions improving healthcare outcomes.
• Support the design, development, testing of Machine Learning (ML) /Statistical models to not only learn from our vast amounts of data but to build new product features.

What we're looking for

 

• 6+ years of experience in Information Technology, Statistics, Informatics, Data Science, Applications/Database Development and/or other related quantitative fields
• Experience in supporting complex Healthcare Data Science projects from requirements through design, development, testing and production.
• Experience using data visualization tools and Databricks (Tableau, Databricks) to share ongoing insights.
• Experience with SQL, Python, Flask, and Databricks within AWS.
• Working knowledge of Medicaid IT systems and Institutional and Pharmacy/Drug data and elements.
• Ability to lead client meetings and Gainwell stakeholders.

 

Additional Skills/Experience

• Computer Science Degree: Statistics, Informatics, or another quantitative field.  Advance degree in Data Science is preferred.
• Building Data Science/Machine Learning/AI models and outcomes/observations.
• Analysis leveraging complex data sources derived from multiple internal systems.
• Working with AWS cloud services: EC2, S3, RDS, and Glacier/Archival.

What you should expect in this role

 

• HYBRID ROLE:  work onsite 2 days per week at the Columbus, OH 43215 office, and work from home (within a commutable distance to Columbus, OH) 3 days per week.
• Work Hours: Eastern Time Zone
• Willingness to work a flexible schedule to accommodate business needs and travel as required
  Video cameras must be used during all interviews, as well as during the initial week of orientation

#LI-GD1  
#LI-REMOTE 

•  

The deadline to submit applications for this posting is July 25, 2025

 

The pay range for this position is $75,000 - $100,000 per year, however, the base pay offered may vary depending on geographic region, in