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Data Engineer – New Grad

X (Twitter)

Full-time Onsite United States

Job Description

Data Engineer – New Grad – X (Twitter)

X (formerly Twitter) is the global public conversation platform where 250+ million daily active users post, engage with, and search 500+ million tweets per day on news, sports, politics, entertainment, and real-time events worldwide. X's data platform processes one of the world's largest real-time social media data streams — requiring cutting-edge data engineering at a scale few organizations ever encounter. X's engineering team built Apache Kafka, Apache Parquet, and other foundational open-source data technologies used industry-wide. We are hiring New Grad Data Engineers in San Francisco to build the real-time data infrastructure powering one of the world's most influential information platforms.

Responsibilities

  • Build and maintain real-time data pipelines processing 500+ million tweets and engagement events daily using Apache Kafka and Apache Flink
  • Develop X's data warehouse ETL/ELT pipelines transforming raw tweet events into analytics datasets for ads measurement, user growth, and content quality teams
  • Implement X's data lake architecture on Google Cloud Storage — organizing Parquet and ORC format datasets for efficient analytical querying using Presto and Spark
  • Build X's ads data measurement pipeline — tracking ad impressions, clicks, video views, and conversion events for X's advertiser reporting platform
  • Develop feature engineering pipelines for X's ML models powering tweet recommendations, trending topics, and content safety classifiers
  • Monitor and optimize data pipeline SLAs ensuring on-time data delivery for X's business-critical analytics and advertiser reporting products

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or Data Engineering
  • Strong Python, Scala, or Java skills for Spark and Flink pipeline development
  • Understanding of distributed data processing, stream processing, and data warehouse design
  • Familiarity with Apache Kafka, Spark, Flink, or Hadoop ecosystem tools
  • SQL proficiency and experience with large-scale analytical datasets

Benefits

  • Competitive salary with X equity and performance bonus
  • Work on one of the world's highest-scale real-time data platforms
  • Medical, dental, and vision benefits
  • 401(k) with X matching
  • San Francisco headquarters with on-site amenities and world-class data engineering culture

Job Details

Salary $36 – $54 / month
Job Type Full-time
Work Mode Onsite
Location San Francisco, CA
Apply Before Jul 19, 2026
Important: We never charge any fee at any stage of the hiring process. If anyone asks for money, report it to [email protected].
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