Senior Data Engineer, Forensics - Global Security Organization at TikTok
San Jose, California, USA -
Full Time


Start Date

Immediate

Expiry Date

13 Dec, 25

Salary

359720.0

Posted On

16 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Kafka, Base Pay, Python, Relativity, Regulations, Google Cloud, Encase, Data Modeling, Aws, Nuix, Apache Spark, Data Engineering, Evidence Collection, Incentives, Reporting, Cloud, Sql, Azure, Life Insurance

Industry

Information Technology/IT

Description

Security
Senior Data Engineer, Forensics - Global Security Organization
Location
:
San Jose
Employment Type
:
Regular
Job Code
:
A58510
Responsibilities
The mission of TikTok’s Global Security Organization is to build and earn trust by reducing risk and securing our businesses and products. Also known as “GSO”, this team is the foundation of our efforts to keep TikTok safe, secure, and operating at scale for over 1 billion people around the world. We work to ensure that the TikTok platform is safe and secure, that our users’ experience and their data remains safe from external or internal threats, and that we comply with global regulations wherever TikTok operates.
Trust is one of TikTok’s biggest initiatives, and security is integral to our success. In whatever ways users interact with us — whether they’re watching videos on their For You page, interacting with a Live video, or buying products on TikTok Shop — GSO protects their data and privacy, so they can have a secure and trustworthy experience.
The data engineer for forensics builds and maintains robust data pipelines that ensure data is collected, processed, and produced in a forensically sound and legally defensible manner

MINIMUM QUALIFICATIONS:

  • Programming: Strong proficiency in Python for building automated data pipelines and scripts.
  • Database expertise: In-depth knowledge of SQL, as well as NoSQL databases, and experience with database architecture and data modeling.
  • Big data frameworks: Experience with tools like Apache Spark and Kafka for processing and streaming large volumes of data.
  • Cloud computing: Proficiency with cloud platforms such as AWS, Azure, and Google Cloud, which are often central to large-scale data investigations.
  • Forensic tools: Knowledge of both traditional forensic tools (e.g., FTK, EnCase, Autopsy, Relativity, Nuix) and how to integrate their outputs into a larger data processing system.

PREFERRED QUALIFICATIONS:

  • 5+ years of applicable experience in Data Engineering, Programming etc
  • Digital forensics process: A clear understanding of the standard digital forensics process, including the phases of acquisition, preservation, analysis, and reporting.
  • Legal and ethical compliance: Knowledge of relevant laws, regulations (like GDPR and CCPA), and ethical considerations surrounding digital evidence collection and privacy.
  • Chain of custody: An understanding of the strict procedural requirements for maintaining the integrity and legal admissibility of digital evidence.
    Job Information
    【For Pay Transparency】Compensation Description (Annually)
    The base salary range for this position in the selected city is $187040 - $359720 annually.

    Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

    Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

    The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
Responsibilities
  • Big data management: Architect and manage large-scale data storage solutions like data lakes and warehouses to handle petabytes of data from servers, network devices, and cloud environments.
  • Data integrity and chain of custody: Ensure the integrity of the data is maintained throughout the entire e-discovery lifecycle. This includes documenting and maintaining a secure chain of custody to ensure the data is admissible in court.
  • Data management and loading: Ingest, integrate, and organize processed data into review platforms for attorneys to analyze. This includes handling various native file formats and metadata.
  • Workflow automation: Build and maintain data pipelines to automate and orchestrate e-discovery processes, including data ingestion, processing, and production. This increases efficiency and reduces manual errors.
  • Processing and culling: Use specialized e-discovery software (e.g., Relativity, Nuix) to process massive datasets by filtering, de-duplicating, and preparing the data for review. The engineer applies advanced search techniques to cull the data and reduce the volume of information for legal review.
  • Create requirements, work with stakeholders to design, implement, and deploy security tools, to improve the efficiency of forensics
    Qualifications
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