Senior Data Quality Engineer

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Job Summary:
The DE&E Product & Technology team is looking for a Senior Data Quality Engineer to join our expanding quality engineering efforts across the Ads, Data, and eCommerce domains. As part of our mission to scale automation and enhance quality across diverse systems, this role will focus on building robust test automation frameworks and quality processes tailored to each team’s unique needs. In Ads, your work will help ensure that ad delivery systems serve relevant, timely, and high-quality advertisements, maximizing both viewer satisfaction and business revenue. For Data, you’ll ensure the integrity and performance of large-scale pipelines that power analytics and insights used across the organization. In eCommerce, you’ll help maintain seamless shopping experiences by catching integration and service-level issues early in the development cycle. When these systems work as intended, they drive better customer experiences, increase trust in our platform, and reduce costs associated with bugs in production. As a Senior Data Quality Engineer , you will play a crucial role in strengthening test automation strategies, leading quality initiatives, and championing a culture of engineering excellence. This is a great opportunity to be part of a talented and collaborative team, with the autonomy to influence test architecture and the support to drive meaningful change. The ideal candidate is innovative, proactive, and thrives in dynamic, fast-paced environments. If you’re excited by the opportunity to shape quality across core pillars of our business and want your work to be impactful and visible at all levels, we’d love to hear from you. Responsibilities: Validate ETL logic, business logic, and data quality in Snowflake , Databricks , and other data platforms before code changes are released to production.
Partner with data engineers to identify potential failure points and proactively help catch issues early.
Ensure the quality of every release using rigorous, data-driven testing practices.
Develop automated and reusable tests to improve coverage, development velocity, and reduce regression risk.
Translate business and technical requirements into test scenarios to validate KPIs, metrics, and business rules.
Contribute to and enhance the existing test automation framework , with a focus on scalability and maintainability.
Collaborate closely with Data Analysts , Product Managers , and Engineering teams to ensure accuracy, completeness, and usability of the data.
Basic Qualifications: Minimum of 5 years of related work experience
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Strong experience validating data pipelines , ETL processes , and data warehouses in production environments.
Expert-level SQL skills and hands-on experience working with large datasets (terabytes or more), capable of identifying data anomalies through efficient queries.
Proficiency with Snowflake , Hive , Databricks , and other modern data platforms.
Solid Python skills and experience with test automation for data pipelines.
Familiarity with tools like Airflow and Spark and understanding of CI/CD principles .
Strong collaboration and communication skills; able to work effectively across cross-functional teams.
Preferred Qualifications: Experience with BDD frameworks (., Behave)
Experience working in AWS or other cloud environments
Familiarity with open-source data quality tools like Deequ , Great Expectations , or similar custom frameworks
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The hiring range for this position in Los Angeles, CA & Bristol, CT is $138,900 to $186,200, for Seattle, WA & New York, NY is $145,400 to $195,000, and for San Francisco is $152,100 to $203,900. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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Location:
San Francisco

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