Data Engineer – AI, Spark, Databricks, Healthcare
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Job Description
Data Engineer managing advanced Spark scripts for data validation and integration at Cotiviti. Collaborating with engineering teams to ensure data integrity and compliance in healthcare data processes.
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.
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
- Any Databricks / AWS certifications is a big plus
- Familiarity with data pipeline orchestration tools (e.g., Airflow, Databricks Workflows)
- 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
- Flexible work schedule
- Experience with project management tools like JIRA
- Databricks and/or Snowflake environment familiarity a plus
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
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