Data Engineer-Privacy and Data Protection Office, San Jose

Tiktok - San Jose, CA

Full-time - Mid Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Data Engineer role within TikTok's Privacy and Data Protection Office (PDPO) focuses on utilizing big data techniques to enhance privacy measures and data protection across the platform. The position involves conducting data investigations, developing scalable data solutions, and collaborating with cross-functional teams to address privacy risks and ensure compliance with data protection standards.

Responsibilities

• Conduct impact sizing analysis during critical privacy incident investigations and respond to data requests from media or regulators.
• Design and build systematic data solutions and standardized data runbooks to improve efficiency and ensure accuracy for incident and inquiry responses.
• Sort out data inventories across the company in different formats and platforms to develop scalable monitoring systems that detect privacy risks and establish automated alerts.
• Develop data pipelines to automate metrics reporting and drive metrics to improve operational excellence.
• Conduct data investigations and data mining to find root causes, patterns, and trends for privacy risks, and develop improvement or remediation plans for data protection.
• Establish solid design and best engineering practices for data access controls and management.
• Collaborate with various cross-functional teams within the PDPO department and across organizations (e.g., legal, security, engineering, and product) to drive various projects on privacy and data protection.

Requirements

• BS or MS degree in Computer Science, Engineering, Analytics, Mathematics, or a related technical field or equivalent practical experience.
• Hands-on experience and deep understanding of various Big Data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.).
• Proficient in SQL, Python, schema design, and ETL (Extraction, Transformation & Loading).
• Experience with data visualization tools or platforms (e.g., Dashboards, Tableau, etc.).
• Strong communication and project management skills, comfortable working with a large number of cross-functional teams to lead and drive projects at different stages.

Nice-to-haves

• Experience and knowledge of data privacy and data security is a plus.
• Passionate and self-motivated about big data and data privacy.

Benefits

• Inclusive workplace culture that values diverse voices and perspectives.
• Commitment to providing reasonable accommodations in recruitment processes for candidates with disabilities or other protected reasons.