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Data Engineer, Wirecutter
Posted on 4/7/2022
INACTIVE
Locations
Remote • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
BigQuery
Data Analysis
Google Analytics
Python
Writing
Looker
Requirements
  • You have 3+ years in software or data engineering or relevant experience building data pipelines and modeling large scale data models for OLAP purposes
  • You can design & optimize queries, data sets, and data pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
  • You have experience monitoring and optimizing for query and data transfer performance on BigQuery and GCS (or on another cloud platform)
  • You have experience reliably integrating and reliably ingesting data from 3rd party APIs (including writing validation and alerting)
  • You have experience building ETLs in a distributed environment
  • You have experience with version control, and CI/CD pipelines
  • You are thoughtful, clear, and persuasive in writing and in person
  • You have strong problem-solving skills and critical thinking abilities
  • You have experience listening to analysts and other stakeholders, and can translate their needs into actionable tasks
  • You are excited to play a pivotal role in Wirecutter's mission, innovation, and growth
  • You are passionate and enthusiastic about what you do
  • Ideally, you have production experience with Python and Apache Airflow
  • Ideally, you have experience with BI tools and managing data sets for BI tools
  • Ideally, you have experience working with Google Tag Manager and analytics data sets
  • Ideally, you've worked as a member of a distributed team
Responsibilities
  • Write, debug, and test ETL processes for new or existing data pipelines
  • Create and update data models that are appropriately scalable, standardized, performant, and reliable
  • Help drive the optimization, testing, and tooling to improve data quality
  • Write and maintain testing, data validation, and documentation
  • Support and maintain the integrity and security of our internal data
  • Maintain an understanding of Wirecutter's data platforms and products as well as the data platforms and products of our parent company, the New York Times
  • Leverage and improve on existing features and tools from both the Wirecutter and New York Times
  • Share knowledge and problem solving with other members of your team and the digital department
  • Recommend solutions that best align with our product and business goals, as well as the quality, reliability, and secure storage and replication of our data
  • Improve our development workflow and infrastructure
  • Contribute to engineering initiatives and culture as a member of Wirecutter's engineering department
The New York Times

1,001-5,000 employees

Major newspaper
Company mission
The New York Times' mission is to seek the truth and help people understand the world.
Company Values
  • Independence: Over a hundred years ago, The Times pledged “to give the news impartially, without fear or favor, regardless of party, sect, or interests involved.”
  • Integrity: The trust of our readers is essential. We renew that trust every day through the actions and judgment of all our employees — in our journalism, in our workplace and in public.
  • Curiosity: Open-minded inquiry is at the heart of our mission. In all our work, we believe in continually asking questions, seeking out different perspectives and searching for better ways of doing things.
  • Respect: We help a global audience understand a vast and diverse world. To do that fully and fairly, we treat our subjects, our readers and each other with empathy and respect.
  • Collaboration: It takes creativity and expertise from people in every part of the company to fulfill our mission. We are at our best when we work together and support each other.
  • Excellence: We aim to set the standard in everything we do. The pursuit of excellence takes different forms, but in every context, we strive to deliver the very best.