Senior Software Engineer

Cotiviti 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 Senior Software Engineer I role is primarily responsible for supporting and enhancing software applications within the Cotiviti product suite, collaborating with various stakeholders to improve software performance and quality.

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 the primary discipline and a 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 on 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 in Computer Science, Information Technology, Information Systems, or a related field
• 5 years of enterprise software design and development experience with a strong focus on Oracle-based solutions
• 2-3 years of healthcare data expertise with solid healthcare domain knowledge
• Expert-level proficiency and Hands-on experience in Oracle PL/SQL, including: Packages, procedures, functions, triggers, BULK COLLECT / FORALL, Collections, dynamic SQL, autonomous transactions, Exception handling and modular programming
• Hands-on experience with advanced Oracle database features, such as: Partitioning, indexing strategies, materialized views, Analytic/window functions, Oracle Scheduler, Advanced Queuing, DB Links, Optimize statistics management and hints
• Strong experience with ETL development, data transformations, and data quality frameworks
• Proficiency with Software Development Lifecycle (SDLC) methodologies with specific experience in Agile Scrum
• Hands-on experience with CI/CD implementation for database code: GIT, Bitbucket for version control, CI server configuration using Jenkins/Hudson/Bamboo etc., Automated builds, deployments, and code quality checks
• Proficiency with standard enterprise tools including JIRA for issue tracking
• Experience with Linux/Unix shell scripting for automation, batch jobs, and deployment tasks
• Strong analytical, problem solving, debugging, and root cause analysis skills
• Excellent communication skills with the ability to work collaboratively across technical and business teams
• 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
• Remaining in a stationary position, often standing or sitting for prolonged periods
• Repeating motions that may include the wrists, hands, and/or fingers
• Must be able to provide a dedicated, secure work area
• be able to provide high-speed internet access/connectivity and office setup and maintenance