Senior Data QA Engineer, Lantern

• 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
• 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
• You use LOGIC in your decision making and understand that progress is critical to making change
• You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins
• INCLUSION is a core tenant of your personal beliefs
• A diverse and inclusive environment is incredibly important to you
• You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with
• You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas
• You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren’t just the individuals using your product. They are the driving factor in your motivation to make a change.
• Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear
• You thrive in a Team Environment. Collaboration is key in innovation and creating change

Desirable

• Lantern is seeking a Senior Data QA Engineer to join our Data Engineering team and drive quality across the foundations of our evolving Data Platform
• You 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
• Your work will help build trust in data as we scale our platform and processes
• 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