Senior Data Engineer AI

Cotiviti is a data management company that focuses on providing data solutions for clients. They are seeking a Senior Data Engineer specializing in AI to manage data implementations, integrations, and ensure data quality and security through technical expertise in ETL processes.

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 processes, analyze data trends and identify anomalies or issues
• Immediately report issues regarding quality of/or interruption of data processes following standard operating procedures
• Perform production solutions and services configurations as needed
• Serve as a change agent to identify organizational improvements and make recommendations to improve business processes
• Create and maintain SOP documents
• Train and mentor new members of the team as needed
• Participate in meetings with clients and/or stakeholders
• Troubleshoot issues and provide recommendations for remediation
• Demonstrate sound judgment in selecting methods and techniques for obtaining solutions
• Completes work as assigned
• Participate in customer testing, as needed, for new technology or changes to existing
• 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
• Complete all special projects and other duties as assigned
• Must be able to perform duties with or without reasonable accommodation

Requirements:

• Bachelor's degree in Computer Science, Information Technology or equivalent work experience
• 8+ years of working knowledge of big data / cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.)
• Experienced in implementing data pipelines with data engineering best practices in SQL, Spark and Scala, implementation in a Databricks environment a plus
• 8+ years of data analysis. Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims
• Strong SQL and data modeling skills
• Experience with data pipeline orchestration tools (e.g., Airflow, Databricks Workflows)
• Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook
• Strong analytical skills
• Excellent verbal, listening and written communication skills
• Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times
• Ability to work well independently or in a team environment
• Any Databricks / AWS certifications is a big plus
• Flexible work schedule
• Experience with project management tools like JIRA