Data Engineer - USDS
San Jose, California, United States
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
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Data pipelines Data warehouse Engineering ETL Pipelines Privacy Security
Region:
North America
Country:
United States
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