Join us.

Team Introduction
The Data Engine team horizontally supports various core business lines within TikTok, as well as external enterprise customers through Volcano Engine. It focuses on solving big data architecture challenges for a 10EB level data set to create an industry-leading big data infrastructure. In addition, the team provides cloud-native real-time data lake and data warehouse services to business customers through its LAS (LakeHouse Analytics Service) product.

As part of the Data Engine team, you will have the opportunity to collaborate with an intelligently strong and fun team to build the industry-leading big data infrastructure and architecture, dive deep into source code optimizations of major big data systems, and represent the company at top-level conferences in the big data field to share the team's technical milestones and achievements.

Responsibilities
- Build the industry-leading 10 EB-level big data platform that supports core products and businesses
- Optimize and enhance big data system kernels, Spark SQL, Presto, Flink, Hive, HUDI etc.
- Build the long-term competitive advantage of the data engine

Qualifications

- Familiar with principles and source code of one or more mainstream big data systems such as Spark, Presto, Flink hive and HUDI
- Familiar with data lake technologies including Iceberg, HUDI and DeltaLake
- Ability to diagnose failures and optimize performance in large-scale systems
- Committers in major database projects (Spark, Flink, HUDI, Iceberg, Presto, StarRocks, Kafka, Calcite, etc) preferred

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at dataecommerce.accommodations@tiktok.com.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $280000 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.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.