Data Engineer, PDPO - Offense & Defense

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 1+ yearsSkills: ["Analytical thinking","Communication","Cross-team execution"]

Build and maintain fault-tolerant, scalable data pipelines and data services for TikTok’s Privacy and Data Protection Office. Design and expand storage solutions, data models, and enterprise warehouses using distributed databases and caching. Investigate and integrate modern big data tools and open-source frameworks, and ensure reliability through triage, debugging, and operational monitoring. Partner with data scientists, analysts, product managers, and engineering teams to connect data platform capabilities to privacy-risk objectives and third-party systems.

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FursaFursa
TikTok
TikTok
1 day ago

Data Engineer, PDPO - Offense & Defense

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Last checked: 5 hours agoStatus: Live

Job Summary

Build and maintain fault-tolerant, scalable data pipelines and data services for TikTok’s Privacy and Data Protection Office. Design and expand storage solutions, data models, and enterprise warehouses using distributed databases and caching. Investigate and integrate modern big data tools and open-source frameworks, and ensure reliability through triage, debugging, and operational monitoring. Partner with data scientists, analysts, product managers, and engineering teams to connect data platform capabilities to privacy-risk objectives and third-party systems.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Entry level

Key Responsibilities

  • •Design, construct, test, and maintain robust, fault-tolerant, scalable data pipelines and data services for high-throughput analytics workloads.
  • •Build, optimize, and expand storage solutions, data models, and enterprise data warehouses using distributed databases and caching technologies.
  • •Investigate and integrate big data tools, open-source frameworks, and modern technologies into production environments.
  • •Implement fault-tolerant mechanisms, triage and debug distributed data infrastructure issues, and establish operational monitoring to protect reliability and SLA.
  • •Partner with data scientists, analysts, product managers, and software engineering teams to align data platform capabilities with business goals and integrate third-party data systems.

Key Requirements

  • •1+ year designing and modeling data warehouses for BI, analytics, reporting, and data applications.
  • •1+ year implementing production ETL workflows and data processing using Hive, Spark, Hadoop, and/or SQL Server.
  • •1+ year developing production code using SQL, Python, and/or Java.
  • •1+ year troubleshooting and debugging complex distributed data infrastructure and pipeline failures.
  • •1+ year building scalable data services or serving layers using HBase, Elasticsearch, ClickHouse, and/or SQL Server.
Experience:1+ years
Skills:Analytical thinkingCommunicationCross-team execution
Tech Stack:HiveSparkHadoopSQL ServerSQLPythonJavaHBaseElasticsearchClickHouse

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn