Data Lakehouse Engineer — Real-Time, Large-Scale

TikTok Inc.; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Job summary

TikTok Inc. is seeking graduates to join the Data Ecosystem Team, responsible for crafting and implementing storage solutions for offline data in TikTok's recommendation system, serving over a billion users.

As a graduate, you will have opportunities to kickstart your career, pursue bold ideas, and explore growth with TikTok. Successful candidates must commit to onboarding by end of 2026.

Qualifications

• PhD in Software Development, CS, Computer Science, Computer Engineering, or a related technical discipline.
• Experience building large-scale distributed systems, preferably in storage, stream processing, or ML infrastructure.
• Solid understanding of Apache Flink internals, with hands-on experience in state management, connectors, or UDFs.
• Familiarity with Lakehouse technologies such as Apache Paimon, Iceberg, Delta Lake, or Hudi, especially around incremental ingestion, schema evolution, and snapshot isolation.

Responsibilities

• Design and implement real-time and offline data architecture for large-scale recommendation systems.
• Build scalable and high-performance streaming Lakehouse systems that power feature pipelines, model training, and real-time inference.
• Collaborate with ML platform teams to support PyTorch-based model training workflows and design efficient data formats and access patterns for large-scale samples and features.
• Own core components of our distributed storage and processing stack, from file format to stream compaction to metadata management.

Education

PhD in Software Development, CS, Computer Science, Computer Engineering, or related technical discipline

Tools

Apache Flink

Lakehouse technologies (Paimon, Iceberg, Delta Lake, Hudi)

Java/Scala/C++

Job description

TikTok Inc. is seeking graduates to join the Data Ecosystem Team, responsible for crafting and implementing storage solutions for offline data in TikTok's recommendation system, serving over a billion users.

As a graduate, you will have opportunities to kickstart your career, pursue bold ideas, and explore growth with TikTok. Successful candidates must commit to onboarding by end of 2026.