Ads Targeting Data Engineer Intern Build Targeting Pipelines

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

Benefits offered by this job

Health insurance

Paid holidays

Housing allowance

Job summary

TikTok in San Jose is seeking a Data Engineering Project Intern (Ads Targeting) for a 2027 start. You will work with the Ads Core team to build targeting data and platform capabilities, including geo, gender, age, device, language, and audience tagging pipelines.

This fast-paced internship offers hands-on experience with batch and streaming jobs (Hive/Spark, Flink/Kafka), data quality improvements, and stable data services for ads delivery.

Qualifications

• Pursuing undergraduate or master's in CS/Data Eng/IS.
• Strong SQL and data modeling fundamentals.
• Proficient in Java/Scala/Python.
• Familiar with Hive/Spark/Flink/Kafka/Airflow.
• Detail-oriented with data definitions and quality governance.
• Preferred: experience with user profiles, tagging systems, DMP/CDP, ads or recommender data pipelines.
• Exposure to privacy, anonymization and access control.

Responsibilities

• Build targeting data and platform capabilities: gender, age, geo, device, language.
• Assist in user profile tagging pipelines: ingestion, cleaning, tag generation.
• Develop batch and streaming jobs: Hive/Spark or Flink/Kafka.
• Improve data quality: checks, latency monitoring, anomaly alerts.
• Provide stable data services to ads systems: audience packages, tag queries.

Skills

SQL

Data modeling

Java/Scala/Python

Hive/Spark/Flink/Kafka/Airflow

Detail-oriented

Education

Undergraduate/ Master’s in CS/Data Engineering/IS

Tools

Hive

Spark

Flink

Kafka

Airflow

Job description

TikTok in San Jose is seeking a Data Engineering Project Intern (Ads Targeting) for a 2027 start. You will work with the Ads Core team to build targeting data and platform capabilities, including geo, gender, age, device, language, and audience tagging pipelines.

This fast-paced internship offers hands-on experience with batch and streaming jobs (Hive/Spark, Flink/Kafka), data quality improvements, and stable data services for ads delivery.