Note: The job is a remote job and is open to candidates in USA. Cotiviti is a data management company that is looking for a Senior Data Engineer AI. The role involves ensuring operational functions through data management, including monitoring data processes, analyzing trends, and implementing data pipelines while adhering to compliance regulations.
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
Skills
- 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
- Communicating with others to exchange information
- Assessing the accuracy, neatness and thoroughness of the work assigned
- Demonstrate sound judgment in selecting methods and techniques for obtaining solutions
- 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
- Any Databricks / AWS certifications is a big plus
- Experience with project management tools like JIRA
- Flexible work schedule
Benefits
- Discretionary bonus consideration
- Medical, dental, vision, disability, and life insurance coverage
- 401(k) savings plans
- Paid family leave
- 9 paid holidays per year
- 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti
Company Overview
Company H1B Sponsorship