Senior Data QA Engineer

Job Description

Lantern is seeking a Senior Data QA Engineer to join their Data Engineering team and drive quality across the foundations of their evolving Data Platform. The Senior Data QA Engineer will lead functional testing efforts for data platform modules like Observability, Lineage, Access Controls, and Parsing engines, with a strong focus on data exchanges, both ingress and egress, using healthcare industry standard formats. The ideal candidate brings deep expertise in SQL, Python, and Azure-based platforms, along with a passion for ensuring data integrity across complex, multi-source environments.

Responsibilities:

• Lead test efforts for healthcare-specific data using healthcare industry & custom data exchange standards, with a focus on validation and regulatory compliance.
• Develop detailed test cases and comprehensive test scenarios, accurately estimate testing efforts, and strategically plan test activities to ensure thorough coverage and efficiency.
• Perform functional and integration testing of Azure-based data pipelines, including Azure Data Factory, Databricks, and Data Lake storage.
• Validate complex data transformations, lineage, and business rules across ingestion, staging, warehouse, and export layers using advanced SQL.
• Collaborate with data engineers, analysts, and business stakeholders to define quality benchmarks, test strategies, and coverage.
• Participate in design and code reviews to identify potential risks and ensure testability of pipeline components.
• Contribute to continuous QA process improvements and support automation through Python scripting and CI/CD tools (e.g., GitHub Actions, Azure DevOps).
• Knowledge of data management concepts including ETL processes, data modeling, and data governance
• Ability to prioritize and manage multiple tasks in a fast-paced environment

Requirements & Qualifications:

• Bachelor’s in Computer Science, Engineering, or related field.
• 5+ years of functional QA experience in data-centric systems, with a strong focus on healthcare data.
• Solid experience with SQL and test case design for validating data transformations and quality rules.
• Familiarity with Azure services (Data Factory, Databricks, Data Lake, Azure Runbooks).
• Strong communication, documentation, and defect triaging skills.

Strong Candidates will have:

• Experience in Automating Data QA using Python, Pytest, and CI/CD tools like Azure DevOps or GitHub Actions for seamless integration of tests.
• Healthcare Data Expertise, particularly with EDI X12 claim formats (e.g. 834, 837, etc), ensuring compliance and accurate validation in claims data automation.

Benefits:

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Flexible Paid Time Off
• Paid Parental Leave