Data Quality Engineer/Analyst

ITBMS Inc.
United States
7 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Code Review Data Governance Apache Hive Python (Programming Language) Performance Tuning Standard Sql SQL Databases Great Expectations (Foster Youth College-readiness and Support Program) Fast Healthcare Interoperability Resources Snowflake Data Lakes
+3 more
Pyspark Health Level Seven International Databricks

Requirements

Must-have skills: Databricks, PySpark, SQL, Python, Data Quality Automation, and Agile.

  • Strong hands-on expertise in Databricks, PySpark, Spark SQL, and Delta Lake.
  • Strong SQL and Python programming skills.
  • Snowflake expertise, including Snowpark, Dynamic Tables, and task scheduling.
  • Experience building automated Data Quality frameworks (DQxC) from scratch.
  • Knowledge of Great Expectations, dbt tests, Soda, or custom data quality frameworks.
  • Experience integrating data quality checks into CI/CD pipelines.
  • Strong skills in code reviews, performance tuning, and reusable framework development.
  • Healthcare payer domain experience with Claims, Medicare, Medicaid, HL7/FHIR, and PHI/PII compliance preferred.
  • Experience leading Agile teams or SAFe/Pod-based delivery.

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