The ideal candidate will be responsible for troubleshooting data issues, backend support UI development, which includes but is not limited to managing data implementations, data integrations, data production, data quality, and data security.
Responsibilities: Create, maintain and execute complex SQL queries for data management and data validation. Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows. Monitor data workflows and ensure data quality, consistency, and reliability. Design and implement scalable and secure data architectures to support new and existing applications. Perform production solutions and services configurations as needed. Serve as a change agent to identify organizational improvements and make recommendations to improve business processes. Collaborate with cross-functional teams including technical product owners, analysts, and software engineers. Create and maintain SOP documents. Participate in code reviews, sprint planning, and architectural discussions. Mentor junior engineers and promote best practices in data engineering. Participate in meetings with clients and/or stakeholders. Completes work as assigned. Provide after-hours or weekend support as needed. Demonstrate an ability to work independently. Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity. Complete task assignments using department ticketing/productivity systems within assigned deadline. Achieve organizational and individual goals as identified in performance reviews and goal setting exercises. 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.
Qualifications: Bachelor’s degree in Computer Science, Information Technology or equivalent work experience. 8+ years of experience in data engineering or a related role. 8+ years of data analysis. Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims. 8+ years hands-on work in SQL and/or PL/SQL. Familiarity designing, implementing, and optimizing data models in NoSQL databases (e.g., MongoDB, Cassandra, neo4j) to support high-volume, low-latency workloads. Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.) is preferred. Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook. Flexible work schedule. Experience with project management tools like JIRA. Strong understanding of agile development practices, preferably SAFe. Strong analytical skills. Excellent verbal, listening and written communication skills.
Cognitive/Mental Requirements: Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times. Ability to work well independently or in a team environment. Communicating with others to exchange information. Assessing the accuracy, neatness and thoroughness of the work assigned.
Working Conditions and Physical Requirements: Remaining in a stationary position, often standing or sitting for prolonged periods. Repeating motions that may include the wrists, hands, and/or fingers. No adverse environmental conditions expected. Must be able to provide a dedicated, secure work area. Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
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