Data Quality Analyst

XCHANGE SOFTWARE, INC.
Berwyn, United States of America
yesterday

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Berwyn, United States of America

Tech stack

API
Automation of Tests
Azure
Continuous Integration
Data Architecture
Information Engineering
Data Governance
ETL
DevOps
Healthcare Effectiveness Data and Information Set
Python
Scrum
Regression Testing
Power BI
SQL Databases
Tableau
Cloud Platform System
Fast Healthcare Interoperability Resources
Snowflake
PySpark
Health Level Seven International
Google BigQuery
Data Pipelines
Databricks

Job description

  • Design and execute test plans, automation, and defect tracking for ELT/ETL pipelines, payer data, APIs, and reporting measures.
  • Develop and implement QA automation frameworks for Databricks, ADF, and CI/CD workflows.
  • Embed automated quality checks, schema validation, and reconciliation logic across data pipelines and deployments.
  • Use Python, SQL, Azure DevOps to automate anything that is repeatable process.
  • Collaborate with engineering and governance teams to ensure end-to-end data quality, leveraging PySpark, SQL, and Python.
  • Ensure compliance with HEDIS, HIPAA, CMS, and industry standards, documenting QA processes and delivering audit-ready evidence.

Requirements

** 1+ year recent hands-on Data Bricks or Snowflake or Google BigQuery

  • Azure DevOps a must (Test Plans) - reporting how many test cases pass/fail
  • Strong understanding of Medallion or Lakehouse architecture and Data Engineering core concepts
  • SQL experience a must - hands-on writing queries
  • Data QA experience
  • Understanding of repeatable processes turned into Automation. Use Python, SQL, Azure DevOps to automate anything that is repeatable process.
  • 7+ years of experience in Data QA/testing
  • Strong proficiency in Python and SQL for test automation.
  • Solid understanding of data governance, PII compliance, and data quality frameworks.
  • Background in CI/CD pipelines, DevOps practices, and cloud-based data platforms.
  • Excellent communication skills for cross-functional collaboration.

Bonus Skills

Healthcare Payer background - to directly communicate with the business. Prior authorization, Claims Processing

  • Python highly preferred

  • BI experience highly preferred

  • Experience with HL7/FHIR data models beyond payer-specific scenarios

  • Familiarity with BI tools (Power BI, Tableau) for validating reporting layer data

  • Expertise in automation frameworks for data QA and pipeline regression testing

  • Certifications: Microsoft Certified Azure Data Engineer Associate, Databricks

  • Certified Data Engineer

Pyspark a bonus

  • Familiarity with Agile/Scrum methodologies is a plus

About the company

Note- can remove Databricks, still need HEDIS CMS as must AmeriHealth

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