ML Data Engineer: Targeting & Ads Platform

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Job summary

TikTok Inc. is seeking a Senior Data Engineer to join the Monetization Technology team in San Jose, CA. You will own critical data pipelines, data governance, and audience targeting capabilities to support ads and measurement across the platform.

The role requires 3+ years in data engineering, strong SQL and Big Data experience (Spark, Kafka, Airflow), and proficiency in Java/Scala/Python. We offer competitive compensation and comprehensive benefits.

Qualifications

• BS+ in CS/SE/Data Engineering or related field.
• 3+ years in data engineering/platform roles.
• Strong SQL and data modeling.
• Proficient in Java/Scala/Python.
• Strong ownership of data governance, quality and stability.
• Effective cross-functional communication and execution.

Responsibilities

• Own foundational targeting data and platform capabilities with high availability, accuracy, freshness, and scalability.
• Base targeting dimensions: gender, age, geo, device, language, network, etc.
• Audience & tagging system: definitions, hierarchy, refresh strategy, backfills, cross-device unification
• Design and implement large-scale batch/stream pipelines: ingestion, ETL, aggregation, profile generation, tag updates, external serving
• Build a reliable data quality framework: validation, lineage, monitoring/alerting, SLAs, automated backfill and repair
• Collaborate with ML/product/compliance to ensure stable production rollout and iterative improvements (performance/reach/cost/UX)

Skills

SQL

Data modeling

Cross-functional communication

Java/Scala/Python

Education

BS+ in CS/SE/Data Engineering or related fields

Tools

Spark

Hive

Kafka

Flink

Airflow

Job description

TikTok Inc. is seeking a Senior Data Engineer to join the Monetization Technology team in San Jose, CA. You will own critical data pipelines, data governance, and audience targeting capabilities to support ads and measurement across the platform.

The role requires 3+ years in data engineering, strong SQL and Big Data experience (Spark, Kafka, Airflow), and proficiency in Java/Scala/Python. We offer competitive compensation and comprehensive benefits.