Data Platform Engineer — AI & Big Data at Scale

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 136,800 - 359,720; Full time

Benefits offered by this job

Health insurance

401(k) match

Parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

TikTok USDS Joint Venture LLC is seeking a Software Engineer to contribute to efficiency, stability, and AI-driven innovation on our data platform in California. You will optimize Spark, ClickHouse, Doris, and related engines while building AI-powered tools that improve reliability and reduce costs at a petabyte scale.

You will collaborate with senior engineers to deliver high-quality code, participate in reviews, and learn across distributed systems and AI as we advance secure, scalable data

Qualifications

• Education: BS/MS in Computer Science, Engineering, or a related technical field.
• Distributed Systems: 1+ years of hands‑on experience building or maintaining distributed systems.
• Coding: Strong proficiency in Java, Scala, C++, or Python.

Responsibilities

• Assist in optimizing Apache Spark performance and resource utilization for large-scale data processing.
• Participate in enhancing OLAP systems through query tuning and storage‑compute optimization.
• Contribute to automated job diagnosis and failure analysis systems using AI/ML techniques.
• Help build and maintain monitoring and self-healing capabilities for data pipelines.
• Develop features for intelligent tools.
• Work closely with senior engineers to deliver high-quality, maintainable code and system designs.

Skills

Distributed systems

Java/Scala/C++/Python

Education

BS/MS in Computer Science or related field

Tools

Apache Spark

ClickHouse

Doris

Kafka

Job description

TikTok USDS Joint Venture LLC is seeking a Software Engineer to contribute to efficiency, stability, and AI-driven innovation on our data platform in California. You will optimize Spark, ClickHouse, Doris, and related engines while building AI-powered tools that improve reliability and reduce costs at a petabyte scale.

You will collaborate with senior engineers to deliver high-quality code, participate in reviews, and learn across distributed systems and AI as we advance secure, scalable data