Senior Software Engineer

Feuji is a leading solutions and analytics company that leverages unparalleled clinical and financial datasets to deliver deep insight into the performance of the healthcare system. The Sr Software Engineer is primarily responsible for supporting and enhancing existing software applications within the Client product suite, collaborating with various stakeholders to ensure efficient and high-quality software solutions.

Responsibilities:

• Support and enhance high quality software modules for the Cotiviti product suite
• Analyze and resolve software related issues originating from internal or external customers
• Document the specifications, design, features, and operation of applications prior to production roll out
• Demonstrate proficient working knowledge of primary discipline and developing knowledge of related disciplines
• Execute solutions enhancements to improve performance / availability
• Communicate technical and operational issues to both engineering and business leadership in a timely manner
• Ensure that all technology standards are adhered to while developing systems
• Explore new ideas and make innovative contributions to existing processes or systems which improve efficiency and results
• Continuously improve and enhance knowledge of new technologies as selected and integrated into the Cotiviti product suite
• Execute all appropriate facets of the Cotiviti Software Development Lifecycle with a desire for continuous improvement
• Mentor other developers
• Complete all responsibilities as outlined in the annual Performance Plan
• Complete all special projects and other duties as assigned
• Must be able to perform duties with or without reasonable accommodation

Requirements:

• BS or MS Computer Science, Information Technology, Information Systems, or equivalent work experience
• 5-9 years of industry experience
• Experience & expertise in resolving issues in production, and client-facing, environments
• Must have 2+ years' Healthcare data experience
• 5-9 years' experience with relational databases
• 4+ years' experience in development with Oracle and SQL programming
• Optimization and tuning of SQL / Oracle queries
• Experience with Git and Jenkins a plus; code versioning / repositories a must
• Advanced understanding of Object-Oriented Analysis and Design
• 5-9 years' experience with Java frameworks
• Understanding of prevalent Software / Solution Development Lifecycle (SDLC) methodologies; specific participation in Agile Scrum techniques preferred
• Knowledge of one or more enterprise scheduling tools
• Excellent written and oral communication skills required
• A strong sense of character manifesting integrity and humility
• Critical Thinking: Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations
• Attention to Detail: must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting
• Quantitative Aptitude: Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations
• Data Interpretation: skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively
• Communication Skills: Effective communication skills are crucial for conveying complex technical concepts and insights to non-technical stakeholders clearly and understandably through written reports, presentations, and verbal discussions
• Curiosity and Learning Agility: A strong desire to learn and explore new methodologies, techniques, and tools in the field of data analysis and insights generation is essential for staying current with industry trends and best practices
• Resilience: The ability to handle pressure, adapt to changing priorities, and overcome setbacks is important in a fast-paced and sometimes ambiguous analytical environment
• Ethical and Integrity: Upholding ethical standards and maintaining integrity in handling sensitive data and information is paramount for building trust and credibility in the insights provided