Data Quality Engineer

November 6

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Newsela

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Newsela is a fast-growing education technology startup with a single ambitious goal: Meaningful classroom learning for every student. We provide engaging, relevant instructional content for teachers that both educates and inspires. With nearly two million teachers signed up, Newsela is helping kids improve their reading skills in all 50 states and more than 150 countries. We seek passionate, creative employees with quick minds and warm hearts. If you believe that all students deserve a more rigorous, more personalized learning experience, please apply to join our team.

201 - 500 employees

Founded 2013

💰 $100M Series D on 2021-02

📋 Description

• Develop, maintain, and execute various data testing approaches, including validating data sources, applying/validating transform logic, and ensuring data accuracy. • Design, execute, and maintain regression tests that cover data quality, transformation logic, aggregation rules, and business logic validation. • Contribute to ensuring data testing best practices are included in CI and deployment steps. • Identify root causes for data quality defects and develop sustainable countermeasures. • Monitor reporting & BI (Tableau) dashboards and proactively identify anomalies, inconsistencies, and gaps. • Develop and maintain automated test scripts for data validation using Python-based frameworks or similar. • Write SQL queries to validate data integrity and ensure analytical outputs are aligned with business requirements within the data testing frameworks. • Partner with data engineers and business intelligence developers to verify model accuracy, statistical outputs, and integration of analytical components. • Support validation of AI/ML models by testing input/output integrity and ensuring model-driven results are aligned with business logic.

🎯 Requirements

• Proficiency in SQL writing complex queries, joins, and aggregations used in validating analytical outputs. • Hands-on testing experience with data quality/integrity testing frameworks such as Great Expectations. • Python experience for scripting, data validation, and automation. • Exposure to BI/analytics tools such as Tableau, Power BI, or similar • 2 or more years of experience in Quality engineering with a strong focus on data testing, analytics validation, and Business Intelligence/Extract, Transform, Load (BI/ETL) systems. • Knowledge of Agile methodologies such as Scrum and Kanban • Strong communication abilities with data engineers and data stakeholders relating to data system changes and data inquiries • Ability to develop a deep domain knowledge of relevant business data models • Experience with DBT best practices. • Experience with Semantic Layer tools (ie Metric Flow, Cube, DataPlex or similar)

🏖️ Benefits

• Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits.