Data QA Consultant

Job Title: Data QA Consultant
Engagement Type: Contract (W2 / C2C) – Through Kanerika
Work Location: Remote (Must be based in the United States)
Job Summary
Kanerika is seeking a highly experienced Data QA Consultant to support enterprise data and analytics initiatives within a Databricks centric ecosystem. This is a hands-on role for a consultant who will actively validate data pipelines, ensure data quality, and support analytics and reporting solutions in a regulated healthcare environment.
The ideal candidate brings strong ETL and data validation experience, deep familiarity with Databricks, Spark, and Delta Lake, and prior experience working with healthcare payer or provider data. The consultant will work remotely while collaborating closely with distributed engineering and analytics teams.
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Key Responsibilities
•    Design, develop, and execute data quality and ETL testing strategies in a Databricks-based data platform.
•    Perform hands-on source-to-target validation, reconciliation, and business rule verification using SQL and Spark.
•    Validate data ingestion, transformation, and aggregation workflows built on Databricks, Delta Lake, and cloud storage.
•    Conduct data quality testing including completeness, accuracy, consistency, duplication, schema validation, and threshold checks.
•    Partner closely with data engineers to validate pipeline logic and identify data issues early in the development lifecycle.
•    Analyze and troubleshoot data discrepancies; perform root cause analysis and support defect resolution.
•    Validate downstream analytics and reporting datasets to ensure business readiness and accuracy.
•    Document test cases, validation results, and data quality findings clearly and consistently.
•    Participate in Agile ceremonies including sprint planning, reviews, and release validation cycles.
•    Ensure testing activities align with data governance, compliance, and audit requirements common to healthcare environments.
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Required Qualifications
•    5+ years of hands-on experience in Data QA, ETL QA, or Data Validation roles.
•    Strong hands-on experience working within the Databricks ecosystem, including Spark, Delta Lake, and Databricks SQL.
•    Advanced SQL skills for complex data analysis and validation.
•    Experience testing large-scale data pipelines and analytics platforms in cloud environments.
•    Solid understanding of data warehousing concepts, ETL design patterns, and analytics workflows.
•    Prior experience working with healthcare payer and/or provider data, including claims, eligibility, clinical, or operational datasets.
•    Strong analytical, problem-solving, and communication skills.
•    Ability to operate independently in a remote consulting role while collaborating with cross-functional teams.
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Preferred Qualifications
•    Experience with data governance, lineage, and data quality frameworks.
•    Familiarity with regulatory and compliance considerations in healthcare (e.g., HIPAA-aligned data handling).
•    Experience working in Agile/Scrum-based delivery models.
•    Exposure to automated data testing or data observability tools is a plus.
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Additional Information
•    Candidates must be authorized to work in the United States.
•    Role is fully remote, but U.S. residence is required.