Data QA Lead Health Care Payer Domain

  • Newtown Square, NJ
  • Posted 8 hours ago | Updated 8 hours ago

Overview

On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Agile
Test Plans
Data Governance
ETL
Data Quality
QA
Best Practices
Metrics
Pipeline
DEV OPS
Mentor
Large-Scale
Claims
Scrum
Metadata
Power Bi
Data Lineage
Maintain Data
Datasets
SQL
Python
Continuous Integration/Delivery
Business Intelligence
API
HL7
USE Cases
Tableau Software
Audit
Hedis
Hipaa
Database Modeling
Content Management System
CMS
Data Pipelines
Design Patterns
Azure Devops
Automated Testing
Unity 3D
QA/Testing
Quality Assurance
Test Cases
Reconciliation
Regression Testing

Job Details

Data QA Lead Healthcare Payer Domain (Hybrid, Philadelphia Area)

Location: Hybrid (3 days onsite, 2 days remote Philadelphia area)
Type: Contract to Hire

Are you a Data QA expert who loves ensuring data accuracy, reliability, and compliance - especially in the healthcare payer space? This could be a great fit for you!

We're looking for a Data QA Lead who can take charge of data quality strategy, lead QA teams, and work closely with data engineers and architects on enterprise Azure data platforms.

You'll get to:
Define and drive the overall Data QA strategy for large-scale data platforms.
Lead and mentor a team of talented QA analysts/testers.
Design and automate testing for ETL/ELT pipelines using Databricks, ADF, and SQL.
Validate payer data (claims, member, provider, and clinical) and ensure FHIR/CMS interoperability compliance.
Build automation frameworks using Great Expectations, PySpark, and integrate with Azure DevOps CI/CD pipelines.
Collaborate across teams to ensure top-notch data quality and performance.

What we're looking for:

  • 10+ years in data QA/testing (with at least 5 years in a lead role)

  • Strong hands-on experience with Azure Databricks, ADF, PySpark, Python, and SQL

  • Solid understanding of data governance, HIPAA compliance, and QA automation

  • Great communication and leadership skills you'll be working cross-functionally with data engineers, architects, and business users

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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