Data Engineer Graduate (Privacy Data Protection Office) - 2026 Start (BS/MS)

About the team

PDPO (Privacy and Data Protection Office) leads and oversees TikTok’s privacy initiatives, ensuring industry-leading standards and safeguarding user privacy across all products and platforms. Our team specializes in identifying privacy risks and providing technical solutions to ensure privacy compliance.



We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.



Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.



Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.



Applications will be reviewed on a rolling basis. We encourage you to apply early.



Online Assessment

Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through CodeSignal.



About the role

We are looking for a Data Engineer to support the Risk and Governance organization within PDPO. This role will focus on enhancing the foundational data engineering infrastructure, building automated pipelines, and integrating data from APIs to drive privacy-related insights and monitoring.

Key responsibilities include:

- Build scalable monitoring systems with automated alerts for privacy compliance across TikTok's product features.

- Enhance and optimize current data infrastructure, improving data processing and pipeline performance.

- Design and build automated pipelines for data collection, transformation, and reporting.

- Develop data integrations via APIs to ensure seamless and reliable data ingestion.

- Collaborate with the team to explore the integration of AI and agent-based systems into data workflows.

- Conduct data investigations and analysis to detect privacy risks and support incident response.

- Collaborate with cross-functional teams (engineering, product, security, and legal) to deliver robust data solutions.