TikTok

Software Engineer Graduate (Data Ecosystem) - 2027 Start

San Jose, California, United States of America · Junior

Sponsorship not specifiedDetected 22 min ago

JavaC++ScalaDistributed SystemsSpark

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Cap-exempt (no lottery)0

Sponsors this role100

Entry-level history0

PERM / green-card track0

Lottery odds40

Fits your clock70

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Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 106 green-card filings in this occupation, 98% were for a worker who already held the job.

Green-card follow-through: 92%

Of 155 labor certifications old enough to have been used, 12 expired without the employer filing the next step. Median time from filing to decision: 496 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

69 transfer filings in the last year, covering 69 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

Team Introduction: The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users.
Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance.
As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Responsibilities

Design and implement an offline/real-time data architecture for large-scale recommendation systems.
Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.
Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Requirements

Bachelor's Degree, majoring in Computer Science or related fields, with 3+ years of experience building scalable systems;
Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;
Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;
Prior experience in data warehousing modeling
Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;
Successful candidates must be able to commit to an onboarding date by the end of the year.

Nice to have

Currently pursuing a Master's degree in Computer Science or a related technical discipline.
Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;

Benefits

Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.

Company info

We are looking for talented individuals to join our team.

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This listing is sourced directly from TikTok's careers page and normalized into a canonical job model.