Software Engineer

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

• Responsible for data management and data quality.
• Host and facilitate discussions with Healthcare data carriers to (1) manage data intake, and (2) ensure all client data requirements are discussed and confirmed.
• Document meeting discussions and obtain sign off from the client and carriers.
• Perform data quality checks verifying that data provided is consistent with the requirements to build Claims, Member, Eligibility, etc. databases.
• Analyze and Profile incoming client data to understand what is being provided.
• Map incoming client data to existing databases according to standards in place.
• Work with engineers to test all incoming data to make sure that it is loaded correctly.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.  Complete all responsibilities as outlined on annual Performance Plan.

Qualifications

• Bachelor’s Degree in Computer Science, Information Technology, Information Systems, or related
• 2-4 years’ experience with healthcare data analysis. Strong data manipulation skills using database and spreadsheet applications. Knowledge of database applications, including extraction and querying skills.
• 2+ years’ experience within the Healthcare or Insurance space in a Data Warehouse operations organization. Strong knowledge of healthcare enrollment, medical claims, and drug claims data required. Additional knowledge of non-traditional data types (health & wellness, workforce productivity, and EMR) preferred.
• Ability to use SQL (SSMS) and other data tools to analyze diverse data sets. · Excellent written and verbal communication skills, with the ability to multitask and prioritize projects to meet scheduled deadlines.
• Ability to analyze raw data and disseminate results, with ability to think logically and process sequentially with a high level of detailed accuracy. · Ability to work well independently or in a team environment.Strong understanding of Microsoft SQL Server
• Strong understanding of Extract Transform and Load (ETL) processing
• Demonstrated understanding of SQL Server Integration Services
• Complete all special projects and other duties as
• Must be able to perform duties with or without reasonable
• 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
• 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 mathem