Data Engineer - AI (Spark, Databricks and Healthcare)

Cotiviti

1d • Remote

About The Position

At Cotiviti, we are custodians of data for our clients. Using their technical experience in ETL processes, Data Engineers ensure operational functions are occurring as expected. This includes but is not limited to managing data implementations, data integrations, data production, data quality, and data security.

Requirements

• Bachelor’s degree in Computer Science, Information Technology or equivalent work experience.
• 3+ years of working knowledge of big data technologies (Spark, S3, Kafka, Ray, Hadoop, etc.).
• 2+ years of working knowledge of big data / cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.).
• 3+ years of working knowledge of cloud (AWS, Azure, GCP, OCI etc.).
• 3+ years of working knowledge of RDBMS (Oracle, MS SQL, Vertica, etc.) and experience using SQL, PL/SQL or other data integration/ETL tools.
• 3+ years of data analysis. Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.
• Proficient 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.

Nice To Haves

• Any Databricks / AWS certifications is a big plus.
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Databricks Workflows).
• Databricks and/or Snowflake environment familiarity a plus.
• Experience with project management tools like JIRA.

Responsibilities

• Create, maintain and execute intermediate to advanced Spark scripts for data management and data validation, and data integration.
• Create, maintain and execute basic to intermediate SQL scripts for data management and data validation.
• Optimize the queries to improve the efficiency of daily tasks.
• Perform data analysis and identify any issues.
• Work with other groups such as Engineering team, DBA, Cloud ops, etc. to troubleshoot and resolve any environmental or network issues that impact your work. Extend your support to after – hours or weekends as needed.
• Create and maintain data pipelines as needed.
• Validates the tasks results to ensure that all the requirements are met.
• Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.
• Complete individual productivity tracking.
• Complete task assignments using department ticketing system 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees