Engineering Manager - Machine Learning

  • Full-time

Company Description

Twitter is where you go to talk about what’s happening; it carries some of the most important commentary and conversations and mobilizes people into action.

Joining the team today means you’ll have an impact on the conversation of tomorrow!

We want every Tweep regardless of location or job to understand their role in crafting a culture where everyone is empowered to bring their full authentic selves to work, experience belonging, and do the best work of their career.

Job Description

What you’ll need:

Leadership

  • Previously managed a team of 4-8 engineers and has 1+ years of management experience. Experience with building data products, taking them to the market, and iterating and improving them over time.
  • Technical capacity to partner with tech leads, DS, Product, and comfortable diving into the different parts of data experience
  • B.S. or higher in Computer Science or similar, a prior track record of excellence as a data engineer

Technical

  • Strong programming and algorithmic skills
  • Experience with data processing (such as Hadoop, Spark, Pig, Hive, MapReduce, etc).
  • Proficiency with SQL (Relational, Redshift, Hive, Presto, Vertica)
  • Data Modeling and ER models
  • Ability in managing and communicating data project plans and requirements to internal clients

Nice to have:

  • Experience writing Big Data pipelines, as well as custom or structured ETL, implementation, and maintenance
  • Experience with large-scale data warehousing architecture and data modeling
  • Proficiency with Java, Scala, or Python
  • Experience with GCP (BigQuery, BigTable, DataFlow)
  • Experience with Druid or Apache Flink
  • Experience with real-time streaming (Apache Kafka, Apache Beam, Heron, Spark Streaming)

Qualifications

You are a technical, experienced engineering manager well-versed in cross-functional engagement, looking to join a stellar team of passionate data engineers -

  • You have experience building impactful teams, and developing the careers of your people.
  • You love to tackle exciting problems and are comfortable and confident working in a highly collaborative, distributed systems environment!
  • You work best in an environment with a sense of urgency and can rapidly iterate on data/product features

You are passionate about data and driven to take the data organization challenges at Twitter’s data scope.

Additional Information

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

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

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