Software Data Quality Engineer

Senior Software Data Quality Engineer needed for a fully remote U.S.-based opportunity supporting innovative veterinary healthcare technology initiatives. This remote Data Quality Engineer position combines automation testing, Python development, SQL data validation, and cloud-based data quality engineering to ensure the reliability of critical clinical data platforms, machine learning solutions, and enterprise data pipelines., * Develop and execute comprehensive testing strategies for data platforms, pipelines, and integrations.

• Validate machine learning and rules-based classification applications.
• Create and maintain test plans, test cases, test data, and test environments.
• Perform automation, exploratory, system, integration, user interface, and data quality testing.
• Participate in Agile planning, Scrum ceremonies, and technical strategy discussions.
• Collaborate with cross-functional teams across multiple remote locations.
• Assess and communicate testing results, quality metrics, and potential risks.
• Drive continuous improvement initiatives that increase testing efficiency, consistency, and predictability.
• Ensure the integrity and reliability of core clinical data assets., The team follows Scrum development practices and values collaboration, innovation, and technical excellence. Quality engineering plays a critical role in ensuring successful delivery of scalable software and data solutions. You will work closely with stakeholders across engineering, product, and data science functions to support the development of reliable, high-quality clinical insights products., Professionals with backgrounds in Software Quality Engineering, QA Automation, Data Quality Engineering, Data Testing, Python development, SQL development, cloud technologies, data pipeline validation, machine learning testing, GitHub Actions, Databricks, Snowflake, AWS, and Agile development will find an opportunity to apply and expand their expertise in a technically challenging environment. This role provides exposure to modern data platforms, advanced testing practices, and mission-critical clinical data systems while offering the flexibility of a fully remote position and the opportunity to make a measurable impact on healthcare technology innovation.

• Automation Testing
• Python Programming
• SQL and Relational Databases, * Proven experience designing and executing software and data quality test plans.
• Strong automation testing expertise.
• Programming experience with Python.
• Experience working with SQL and relational databases.
• Experience using GitHub and GitHub Actions.
• Experience with data quality, system, integration, and user interface testing.
• Experience with cloud platforms such as AWS.
• Experience with Jira, Confluence, Slack, and Microsoft Teams.

Preferred Experience

• Data Warehouses and Data Lakes
• Data Pipeline Testing
• Databricks
• Snowflake
• Data Science Platforms
• Machine Learning Data Validation, * Strong analytical and problem-solving abilities.
• Ability to assess and clearly communicate technical risk.
• Experience resolving complex software and data quality issues.
• Commitment to continuous improvement and testing best practices.
• Strong communication and collaboration skills in a remote environment.
• Ability to quickly learn new technologies and adapt to changing priorities., If you have experience in automation testing, Python, SQL, and data quality engineering and are ready to contribute to innovative clinical data initiatives, submit your application now. This position offers the opportunity to work on complex, meaningful technology challenges alongside a highly skilled team dedicated to building reliable, data-driven solutions that advance veterinary healthcare.

The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. Compensation may also vary based on where a role is performed.