The role involves cleaning corrupted data ingested from payers to support strategic automation goals. The individual will work to resolve data issues, manage file type changes, and address missing information. Responsibilities include expanding payer integrations and normalizing ingested data into specific tables. The position requires building tooling for operational posture and notifications to improve issue resolution. Additionally, the role involves performing outreach with payers and potentially providing on-call support.

The role requires expertise in Python, SQL, AWS Infrastructure, CDK, Terraform, and Spark SQL. Candidates must be capable of managing data engineering tasks such as cleaning corrupted data and automating debugging processes. No specific degree or professional qualifications are mentioned in the text.