Senior Data Engineer

U.S. News & World Report is a multifaceted digital media company dedicated to helping citizens, consumers, business leaders and policy officials make important decisions in their lives. We publish independent reporting, rankings, data journalism and advice that has earned the trust of our readers and users for nearly 90 years. Our platforms on usnews.com include Education, Health, Money, Travel, Cars, News and 360 Reviews.

We reach more than 40 million people monthly during moments when they are most in need of expert advice and motivated to act on that advice directly on our platforms. Our signature franchises include our “Best” series of consumer guides on colleges, graduate schools, hospitals, diets, cars, financial services and more. These guides provide an easy-to-digest list for consumers to better understand and compare when making their decisions. We continue to publish annual guides of the authoritative Best Colleges and Best Hospitals rankings on our website and in print. And our U.S. News Live flagship conferences highlight important national conversations including Healthcare of Tomorrow and Healthiest Communities.

We believe in having a broad range of talent and backgrounds at U.S. News. We strive to maintain a welcoming workplace where everyone is given an opportunity to succeed and contribute to their fullest. Learn more about our Diversity, Equity and Inclusion initiative.

Your role in helping us shape the future:

U.S. News & World Report is seeking an experienced Senior Data Engineer to join the data warehouse team. By specializing in data modeling and data transformation within BigQuery, you will help build our large-scale data platform for reporting and analysis. You will work with a variety of ingested data sources to clean, transform and join together. The resulting data structures will be optimized for analytics and other activations. Reporting, visualizations, advanced analytics, and outbound integrations will be built on top of the transformed data.

Are you up to the challenge?

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  Work with stakeholders to understand data requirements

  
  


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  Design and implement data models, especially for reporting

  
  


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  Evaluate and implement data analysis solutions

  
  


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  Create and maintain data sources

  
  


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  Collaborate on ETL processes

  
  


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  Ensure data quality and integrity

  
  


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  Optimize performance of reporting

  
  


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  Conduct data analysis to support business decisions

  
  


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  Develop and maintain dashboards and reports