Data Engineering Intern: Ads Platform & Monetization

TikTok Inc.; San Jose (CA); On-site; USD 62,000 - 83,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

10 paid holidays per year

Paid sick time

Job summary

TikTok is seeking a Project Intern to contribute to impactful short-term data projects within the Ads Core team. You will gain hands-on experience in a fast-paced environment, applying practical skills to real-world challenges and exploring your career interests.

You'll build foundational targeting data pipelines, work with batch and streaming technologies, and participate in data quality initiatives while learning from mentors in a leading tech platform.

Qualifications

• Currently pursuing an Undergraduate/ Master’s in CS/Data Engineering/IS or a related discipline.
• Strong SQL and solid data modeling fundamentals.
• Proficient in at least one language: Java/Scala/Python.
• Familiar with parts of big data ecosystem (Hive/Spark/Flink/Kafka/Airflow) is a plus.
• Detail-oriented; comfortable working on data definitions and quality governance.

Responsibilities

• Assist in building targeting data and platform capabilities, including demographics, geo targeting, device/OS, language.
• Aid user profile/targeting tag pipelines: ingestion, cleaning, definition alignment, tag generation and refresh.
• Develop batch and streaming jobs (Hive/Spark offline, Flink/Kafka real-time).
• Improve data quality: checks, latency monitoring, anomaly alerting, backfill/remediation.
• Provide stable data services to ads systems: audience packages, tag query, targeting rule parsing with mentorship.

Skills

SQL

Data modeling

Java/Scala/Python

Hive

Spark

Flink

Kafka

Airflow

Education

CS/Data Engineering/IS program

Job description

TikTok is seeking a Project Intern to contribute to impactful short-term data projects within the Ads Core team. You will gain hands-on experience in a fast-paced environment, applying practical skills to real-world challenges and exploring your career interests.

You'll build foundational targeting data pipelines, work with batch and streaming technologies, and participate in data quality initiatives while learning from mentors in a leading tech platform.