Software Engineer - SSIS Developers

Overview

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. These insights uncover new opportunities for healthcare organizations to collaborate to improve their financial performance, reduce inefficiency, and improve healthcare quality. 

The Software Engineer is responsible for the design and development of software applications and reusable software components for the Cotiviti Inc product suite, in compliance with predefined coding standards and technical design. This person will collaborate effectively and work with Senior Developers, QA, Product Owners, Project Management, and other stake holders. Cotiviti develops highly innovative applications in healthcare analytics to generate performance, improvement opportunities and value for our clients.

Responsibilities

• Design and develop high quality, maintainable software modules for the Cotiviti, product suite
• Conduct unit and integration testing using appropriate methodology and techniques
• Analyze requirements and specifications and create detailed designs for implementation
• Analyze and resolve software related issues originating from internal or external customers
• Continuously update professional knowledge of new technologies as selected and integrated into the Cotiviti, Inc. product suite
• Change control Enter, transcribe, record, store and maintain information in both written and electronic form.
• Review software engineering approach to proposed solutions to ensure adherence to best practice
• Mentor team members in proper software engineering methods and techniques
• Complete all responsibilities as outlined on annual Performance 
• Complete all special projects and other duties 
• Must be able to perform duties with or without reasonable accommodation.

Qualifications

• Bachelor’s Degree in Computer Science, Information Technology, Information Systems, or related
• 2-3 years of industry experience, preferred
• Strong understanding of Extract Transform and Load (ETL) processing
• Demonstrated proficiency with SQL Server Integration Services
• 2-3 years' experience with software engineering best practices such as continuous integration, unit testing, refactoring, and code reviews
• Understanding of prevalent Software Development Lifecycle Methodologies with specific exposure or participation in Agile/Scrum techniques
• Ability to execute on project deliverables in a dynamic, fast paced environment within estimated timelines
• Strong analytical, organizational, and interpersonal skills
• Good written and verbal communication skills
• Optimization and tuning of SQL queries, stored procedures, and triggers
• 2-3 years' experience with languages: SQL Server Integration Services (SSIS)
• 2-3 years' experience with databases: Microsoft SQL Server, HBASE, Hive
• Strong knowledge and application of SAFe agile practices, preferred
• Proficiency working with large data sets

Mental Requirements:

• 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 da