Twitter is what’s happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.

As an engineer in the Data Experience org, you'll conceptualize & build services and tools that support state of the art data analysis, business intelligence, and behavioral analytics to operate at Twitter scale, such as BigQuery, Looker, Druid and Interana. You will be working with teams that own Twitter's data analysis platforms, providing oversight of technology evolution, feature delivery and customer adoption.

Why it matters: Data Platform offerings serve hundreds of internal customers running the thousands of jobs that power Analytics and product features. You’ll work directly with internal customers on many kinds of projects and technologies that help understand various types of user behavior on Twitter, and power foundational technology for privacy and data protection.

What you’ll be doing: 

Data Experience team owns offerings and services that simplify data analysis, data management, and job scheduling, as well as API’s to power GUI data portal that is the main entry point for discovering and managing data inside Twitter. 

You will make Twitter-scale data privacy compliant, more discoverable and easy to manage for data scientists and engineers across the company. You will be expected to lead efforts spanning across teams while offering support for others. You will collaborate to discover the best solutions. You will support your colleagues by reviewing code and designs. You will diagnose and troubleshoot issues in our existing systems and envision and build their successors.

You get to define and influence the technical strategy for the team as well as the larger Data Platform. You will get to evaluate various open source/cloud technologies and build modern systems to meet ever growing use cases of Twitter teams. You will work on all levels of the backend stack (Scala, MySQL, Finagle, Big data technologies etc..).

• 8+ years of Experience 
• Experience in building and operating distributed backend systems in Scala, Java or Python 
• Experience in Analytical tooling systems such as Presto, Zeppelin, Hive, GCP BigQuery
• Strong design and architecture skills.
• Experience with software engineering best practices (e.g. unit testing, code reviews, design documentation)
• Experience with contributing to open source software and/or metadata systems is a plus.
• Familiarity with cloud technologies such as GCP is a plus
• B.S. or higher in Computer Science (or equivalent work experience)

All your information will be kept confidential according to EEO guidelines.