Senior Software Data Quality Engineer

Senior Software Data Quality Engineer

Join a dynamic team dedicated to advancing veterinary clinical insights through innovative data solutions. As a Senior Software Data Quality Engineer, you will play a pivotal role in developing and executing robust testing strategies to ensure the integrity and quality of complex data pipelines, machine learning models, and rule-based applications. This high-impact role offers the opportunity to collaborate with top-tier engineers, data scientists, and product teams in a fast-paced agile environment, driving improvements that directly enhance veterinary care worldwide.

What You'll Do:

• Develop and implement comprehensive test plans for data pipelines, integrations, and applications supporting clinical insights.
• Drive automation testing efforts, utilize exploratory testing techniques, and ensure thorough validation of platform capabilities.
• Collaborate closely with cross-functional teams including software engineers, data scientists, DevOps, and product owners across remote locations.
• Participate actively in sprint planning, reviews, and technical strategy discussions in a Scrum environment.
• Continuously learn new technologies and improve testing practices to elevate data quality standards and promote process efficiencies.
• Document, communicate, and analyze test results and metrics to inform decision-making and risk assessments.

Required Skills:

• 2+ years of automation testing experience, with proficiency in Python.
• Strong SQL skills, including creating and maintaining test data and environments.
• Experience designing and executing test plans that ensure conformance to technical and business requirements.
• Familiarity with automation testing frameworks and tools, including Github and Github Actions.
• Hands-on experience with relational databases and cloud platforms such as AWS.
• Knowledge of data quality, system, user interface, and integration testing.
• Experience working in Agile/Scrum teams with excellent communication and collaboration skills.
• Ability to assess risk and communicate findings effectively.

Nice to Have Skills:

• Exposure to Data Warehouse, Data Lake, or Data Science platforms like Databricks or Snowflake.
• Experience with tools like JIRA, Confluence, Slack, MS Teams.
• Familiarity with Data Lake architecture, Data Pipelines, and Data Science workflows.
• Experience with other programming languages or automation tools.

Preferred Education & Experience:

• Bachelor’s degree in Computer Science, Data Science, or related field.
• 2+ years of professional experience in data quality assurance, testing, or related roles.
• Prior experience working remotely in distributed teams.

Other Requirements:

• This is a remote position aligned with EST hours.
• Open to candidates with a strong drive for continuous improvement and rapid learning.

Bring your expertise in data testing and automation to a forward-thinking team committed to impactful innovation in veterinary medicine. Your contributions will help shape the future of animal health analytics and clinical decision-making.