Data Engineer - USDS

San Jose, California, United States

Apply now Apply later

We are seeking a versatile and results-driven Data Engineer to join the USDS Cyber Defense & Engineering team at TikTok. In this role, you’ll collaborate with cross-functional teams across regions to develop innovative solutions that strengthen the security and privacy of our users, helping make TikTok the most trusted platform.

The ideal candidate is a strong problem solver with proven technical expertise, business acumen, and a passion for cybersecurity. You thrive in dynamic environments and have a track record of delivering impactful, cross-team projects.

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.

Responsibilities
- Identify critical analytical problems and apply an engineering mindset to find innovative solutions with data.
- Develop expertise in the USDS data to build and own relevant pipelines/ETLs.
- Own data integrity, availability, transformation logic, and efficient data access to support the growing needs of the organization.
- Identify gaps in existing data, create data product specs, and implement data tracking.
- Incorporate automation wherever possible to improve data pipelines and analyses.
- Build and maintain documentation to ensure data accessibility
- Be our go-to data expert and have a deep understanding of our data warehouse and data processing layers.
- Be a primary point of contact for ad hoc data requests and reporting
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Engineering Jobs

Tags: Data pipelines Data warehouse Engineering ETL Pipelines Privacy Security

Region: North America
Country: United States

More jobs like this