Data QA Engineer

At Dario, Every Day is a New Opportunity to Make a Difference.

We are on a mission to make better health easy. Every day our employees contribute to this mission and help hundreds of thousands of people around the globe improve their health. How cool is that? We are looking for passionate, smart, and collaborative people who have a desire to do something meaningful and impactful in their career.

Responsibilities

• Design and execute test plans to validate data pipelines, transformations, and business logic
• Perform data validation and reconciliation across multiple systems (Snowflake, DBT, etc.)
• Develop automated data quality checks using Python, SQL, and testing frameworks
• Collaborate with Data Engineering and Analytics teams to ensure accuracy and relevance of data used for reporting and KPIs
• Validate business rules and metrics implemented in dashboards (e.g., Tableau)
• Ensure alignment between data definitions, business expectations, and actual outputs
• Identify data quality issues, report defects using JIRA, and follow through to resolution
• Maintain test documentation such as STP, STD, STR for data validation processes
• Monitor scheduled jobs and alerting systems for data pipeline failures

Requirements:

• 5+ years of experience in QA or data quality roles
• Strong proficiency in Python and SQL
• Experience testing ETL/ELT processes, preferably in Snowflake or similar DWH platforms
• Familiarity with data pipeline tools (Airflow, DBT, Fivetran, etc.)
• Strong understanding of QA methodologies (STP/STD/STR)
• Excellent communication skills
• Fast learner of new tools and systems
• Business-minded with the ability to understand and validate KPIs and reporting logic
• Ability to work independently and proactively

Preferred Qualifications:

• Experience with test automation tools (e.g., PyTest, Great Expectations)
• Experience validating dashboards in Tableau or similar tools
• Familiarity with Git, JIRA, and CI/CD processes
• Knowledge of healthcare data or analytics is a plus