v4c.ai

QA Engineer

• Architect, build, and scale automated test frameworks from scratch natively within Databricks using PySpark, Python, and SQL
• Design automated assertions for Delta Lake tables, including data drift, schema evolution, and historical data validation via time-travel functions
• Validate large-scale batch and real-time streaming data pipelines using Structured Streaming, ensuring source-to-target integrity
• Programmatically verify data lineage, audit logs, and access controls implemented via Databricks Unity Catalog
• Lead integration of automated data quality tests into enterprise CI/CD pipelines using Azure DevOps, GitHub Actions, Databricks Workflows, APIs, or Airflow
• Act as the subject matter expert for data quality, mentor junior team members, establish QA standards, and advocate for data quality principles
• Design and execute automated performance and scalability tests on Spark jobs, large clusters, and complex query optimizations

Senior Data QA - Onshore

Data Scientist

• Develop and productionize machine learning models, statistical analyses, and predictive analytics using Python and Databricks
• Build and maintain scalable data science workflows using Databricks, PySpark, SQL, Delta Lake, and related cloud data technologies
• Work with MDM processes and frameworks to establish consistent, accurate, and trusted master data across multiple source systems
• Analyze and resolve data quality, duplication, matching, and entity-resolution issues across member, provider, patient, and other healthcare-related datasets
• Partner with Data Engineering, Product, Analytics, and business stakeholders to translate healthcare business problems into data science solutions
• Develop data validation, profiling, and quality-monitoring approaches to improve reliability of analytical datasets
• Perform exploratory data analysis and identify trends, patterns, and insights that can support member engagement and healthcare outcomes
• Contribute to feature engineering, model evaluation, experimentation, and deployment of data science solutions into production
• Ensure data solutions follow applicable healthcare data privacy, security, and governance requirements, including HIPAA where applicable
• Document models, datasets, assumptions, methodologies, and data lineage to support reproducibility and governance

Senior Data QA - Onshore

Data Scientist – Onshore