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Employer Direct Healthcare

Senior Data QA Engineer

Posted 21 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Mid level
Remote
Hiring Remotely in Canada
Mid level
The Senior Data QA Engineer will design and implement data pipelines, ensure data quality, collaborate on data models, and support production jobs.
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About Lantern

Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com. 

About You:

  • 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.

These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT, individuals can find their way to the best care, resources, and support they need to get back to life. 


If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.

Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.


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. 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. Your work will help build trust in data as we scale our platform and processes.

Location:  Remote, Canada (Vancouver preferred)

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

Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Top Skills

AWS
Azure
Databricks
GCP
Java
Python
Restful Apis
Spark
SQL

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