Data Foundation Engineer: AI-Driven Core at Petabyte Scale

TikTok USDS Joint Venture; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Savings Plan With Company Match

Paid Parental Leave

Short-term Disability Coverage

Long-term Disability Coverage

Life Insurance

Wellbeing Benefits

Paid Holidays

Paid Sick Days

Paid Personal Time

Job summary

TikTok USDS Joint Venture seeks a distributed-systems engineer to optimize core data engines at petabyte scale, leveraging Spark, Kafka, ClickHouse and Doris to drive AI-powered diagnostics and platform intelligence. You will implement cost optimization and robust data pipelines, collaborating across teams in Seattle, using Java/Scala/C++/Python to build high-performance, reliable systems.

This is a hands-on role emphasizing data integrity, disaster recovery, and OLAP analytics in a fast-moving

Qualifications

• BS/MS in Computer Science or a related field with 1+ year of distributed systems experience.
• Proficiency in Java, Scala, C++, or Python; familiarity with modern big data technologies preferred.

Responsibilities

• Optimize performance and efficiency of core data engines (Spark, Kafka, ClickHouse, Doris).
• Develop AI-powered solutions for automated job diagnosis, platform intelligence, and cost optimization at petabyte scale.
• Collaborate with teams to ensure data integrity and system reliability across large-scale data pipelines.

Skills

Apache Spark

Kafka

ClickHouse

Doris

Java

Scala

C++

Python

Distributed Systems

AI/ML

Query Tuning

Data Pipelines

OLAP Systems

Resource Optimization

Disaster Recovery

Data Integrity

Education

BS/MS in Computer Science or related field

Job description

TikTok USDS Joint Venture seeks a distributed-systems engineer to optimize core data engines at petabyte scale, leveraging Spark, Kafka, ClickHouse and Doris to drive AI-powered diagnostics and platform intelligence. You will implement cost optimization and robust data pipelines, collaborating across teams in Seattle, using Java/Scala/C++/Python to build high-performance, reliable systems.

This is a hands-on role emphasizing data integrity, disaster recovery, and OLAP analytics in a fast-moving