Data Engineer - USDS

About TikTok U.S. Data Security
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

USDS Financial Crime Compliance is responsible for overseeing and operationalizing all aspects related to Anti-Money Laundering (AML) and Sanctions Compliance activities related to TikTok USDS's operations. Collaborating cross-functionally with stakeholders across the U.S. and globally, we address complex and cutting-edge challenges, which include the identification of money-laundering, terrorist financing and sanction violations. We seek a highly motivated, experienced, and dynamic professional to join our team.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Position Overview
As a Data Engineer, you will play a crucial role in leveraging machine learning, analytics, and visualization techniques to enhance our organization's capabilities in detecting and preventing financial crimes. You will be responsible for analyzing large datasets, developing machine learning models, and creating visualizations to identify patterns, anomalies, and potential risks related to money laundering, fraud, and sanctions violations. This role offers an exciting opportunity to apply advanced technology solutions to combat financial crime and ensure regulatory compliance.
Responsibilities:
- The perfect candidate will leverage strong data infrastructure and architecture skills to design and maintain efficient scalable data systems, strong operational skills to drive efficiency and speed, and apply strategic vision and project management expertise to ensure timely execution of complex data engineering projects that improve FCC compliance processes
- Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis
- Design, implement, and operate large-scale end-to-end distributed systems to perform data discovery using scalable, reusable, and configurable frameworks / methodologies
- Define metrics and create / maintain dashboards for measuring and reporting key performance indicators
- Build and manage data inventories and data flow mappings by collecting and aggregating datasets from multiple data source systems
- Continuously improve the integrity of data pipelines to provide a comprehensive data service
- Build reliable and fault resilient data pipelines