Data Engineer (Systems) - Product Insights and Experimentation

San Francisco, CA

Who we are:

The Product Insights and Experimentation (PIE) team builds world-class data engineering products. We make user behavior visible and clear in order to enable great product decision making. The team’s most important roles are to enable fast, rigorous product experimentation and to provide automated tools to generate insights and understanding of our users.


  • Responsible for experimentation (A/B testing) methodology and implementation
  • Understanding user behavior with great visualization and analysis tools


Twitter has a very data-driven culture and experimentation is at the center of product decisions. PIE engineers regularly participate in discussions with the most senior leaders at Twitter to understand how experimentation can further increase the rate of innovation. PIE does its work with a combination of scalable open-source technologies including Hadoop, Presto, Spark just to name a few. We also like pie.

Who you are:

You want to be part of a community of the most talented, forward-thinking engineers in the industry. Learning, working with, and contributing to useful open-source projects excites you. Experience with Hadoop, Spark, Hive, Scalding, Parquet, or similar technologies is a strong asset. You have experience in front-end web technologies such as React, AngularJS and Javascript. You love to write code and have notable skill in Java, Scala, C++ or another major compiled language. You likely have experience in distributed systems, databases, networking fundamentals, or performance analysis.

You have the following skills and experience:

  • You’ve shipped a major project from inception to production
  • Experience debugging in a data-heavy environment (Hadoop, Spark, etc).
  • Building and maintaining testable, reliable products


You care about people:

  • You have fundamental respect for all people
  • You are in awe of the ability to understand and help 100s of millions of people
  • You are kind, collaborative, inclusive and self-aware

 

Bonus points:

  • Real-time data pipelines
  • Statistics background or experience with controlled experiments
  • Functional programming experience or interest
  • Experience with fullstack development in web applications (including front-end visualization)


Diverse Team:

Product Insights and Experimentation is diverse and we value that. We are not looking for people who fit some historical Silicon Valley mold.  We want to maintain and increase our diversity so whoever you are and wherever you come from, if you are a great engineer we would be honored if you applied.


We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

Engineering Hiring Process

Step 1

Once your application is received, a recruiter will reach out pending your qualifications are a match for the role.

Step 2

If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role.

Step 3

If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people held onsite in our office.

Application

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At Twitter, we have a bold aspiration to reach every person on the planet. We believe that goal is more attainable with a team that understands and represents different cultures and backgrounds and we are committed to an inclusive and diverse Twitter.

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