Data Engineer

7 Hours ago • 2-2 Years • $160,000 PA - $180,000 PA

Job Summary

Job Description

Discord is seeking experienced and passionate Data Engineers to join their Data team. The Data Engineers will collaborate with data science and engineering teams to build and support foundational high-leverage data sets that power tools, analyses, and models. They will create and maintain data pipelines and datasets, design and build database architectures, improve instrumentation, develop data quality audits, and create dashboards. The role involves partnering with various teams to achieve business objectives in a fast-paced environment.
Must have:
  • 2+ years building data pipelines with scalable patterns
  • 2+ years designing and maintaining data models
  • 2+ years writing code in SQL and Python
  • Experience implementing and monitoring data quality audits
  • Experience improving ETL & dashboard performance and cost
  • Excellent communication skills and thrive in ambiguous environments
Good to have:
  • Passion for Discord or online communities
  • Experience owning and improving data models for an area
  • Experience collaborating with data science and product teams
  • Experience with modern data technologies
  • Experience with data architecture for experimentation
  • Experience with advertising products and third-party data ingestion

Job Details

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

Discord is looking for experienced and passionate Data Engineers to join our Data team! Data Engineers at Discord collaborate with data science and engineering teams to build and support foundational high-leverage data sets that power tools, analyses, and models. The data sets built by DE directly inform how we identify opportunities, measure success, and make decisions. If this sounds exciting to you and you’re passionate about data, impact, and working on an amazing team, read on!

This position is US based only.

What You'll Be Doing

  • Create and maintain data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs
  • Design and build database architectures with massive and complex data, balancing ergonomic benefits with computational load and cost
  • Collaborate closely with data science and engineering teams to improve the coverage, accuracy, and reliability of instrumentation
  • Develop audits for data quality at scale, implementing alerting and anomaly detection as necessary
  • Create scalable dashboards and reports to support business objectives and enable data-driven decision making
  • Partner with data scientists, engineers, and product teams to accomplish all of the above!

What you should have

  • 2+ years of experience building data pipelines in production with deep knowledge of performant scalable patterns
  • 2+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
  • 2+ years of experience writing accurate and effective code in SQL and Python
  • Experience implementing and monitoring audits for data quality with massive data sets (e.g. billions of rows)
  • Experience proactively identifying opportunities to improve ETL & dashboard performance and cost
  • Experience leveraging your excellent communication skills to thrive in ambiguous environments where problems are not well-defined and evolve quickly
  • A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord.
  • Last but not least - a collaborative attitude and a healthy dose of natural curiosity!

Bonus Points

 

  • Passion for Discord or online communities
  • Experience owning and proactively improving the data models for a functional area
  • Experience collaborating directly with data science and product engineering teams
  • Experience with modern data storage and processing technologies (i.e. BigQuery SQL, Looker, Airflow, and DBT or similar)
  • Experience with designing data architecture to power a variety of use cases, including experimentation
  • Experience with advertising products and third-party data ingestion is a strong plus

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits.

Why Discord? 

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

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About The Company

Founded in 2015, Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests - from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.


And we're hiring! If this strikes a chord with you, come build belonging with us: https://discordapp.com/jobs for openings.

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

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