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About the Role:

  • Own the accuracy, reliability, and compliance of healthcare data powering Abacus Insights' platform.
  • Architect automated testing frameworks and lead data validation strategy at scale.

Your Day to Day:

  • Build automated data quality validation frameworks and dashboards.
  • Drive root cause analysis and remediation for high-impact defects.
  • Partner with Engineering and Product leadership to translate requirements into test plans.

What You Bring:

  • 6–8+ years in Data Quality Engineering and Data Engineering.
  • Expert-level SQL and strong scripting in Python or Java.
  • Deep experience with healthcare data types and cloud environments like AWS and Databricks.

Preferred Qualifications:

  • Exposure to Delta Lake, Spark, Airflow, dbt, or event-driven architectures.
  • Advanced knowledge of schema evolution management (Parquet, Avro, ORC).
  • Experience with Terraform, DevOps pipelines, and CI/CD workflows.

Abacus Insights

Abacus Insights is a healthcare data platform that helps health plans break down data silos to create a single trusted data foundation. Backed by $100M from top investors, the company fosters a collaborative and curious culture that embraces AI and automation.

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