Join us.

TikTok's immersive experience, global presence, and high engagement makes it the ideal marketing destination for business, big and small, to showcase their unique brand identity, connect with their consumers, and build strong lasting relationships over time. The Ads Data Team builds and manages the petabyte scale data infrastructure, batch/realtime pipelines and services to support Tiktok's global Ads business. We are committed to building a robust data foundation and scalable data applications, unblocking the full potential of advertising data to optimize advertiser experience, boost business growth, empower strategy execution.

We are looking for passionate Data Engineers that have strong problem solving skills to join forces with talented cross functional partners (business operation, data science, engineering and product management) to solve some of the most interesting data challenges with efficiency and quality. In this role, you will contribute to the company's core business across innovative advertising products, campaign management and measurement solutions. You will see a direct impact from your day-to-day work to customer satisfaction and company growth.

Responsibilities:
1. Work closely with Product Managers, Data Scientists/Analysts, and Software/Machine Learning Engineers and other stakeholders to understand data requirements and deliver data solutions that meet business needs.
2. Evaluate, implement and maintain data infrastructure tools and technologies to support efficient data processing, storage and query.
3. Design, build and optimize scalable data pipelines to ingest, process and transform large volumes of data.
4. Design and implement robust data models and visualization to support complex analytical queries and reporting requirements.
5. Ensure the data integrity, accuracy and consistency of data by implementing data quality checks, validation processes and monitoring mechanisms.
6. Continously optimize data pipelines, queries and processes to improve performance, reduce latency and enhance scalability.
7. Provide rapid response to SLA oncall support to business critical data pipelines.
8. Create and maintain good documentation for data assets and promote best practices for data governance within the data user community.

Qualifications

Qualifications:
1. Bachelor's degree in Computer Science, Engineering, or a related field.
2. Proven 1~3 years' experience as a Data Engineer or similar role in supporting data-centric business.
3. Strong knowledge of SQL and experience working with relational and non-relational databases.
4. Proficiency in programming languages such as Python, Java, Go etc.
5. Solid understanding of data modeling and data warehousing concepts, data integration and ETL/ELT techniques.
6. Effective communication skills and ability to collaborate effectively with cross-functional teams.
7. Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.

Preferred Qualifications:
1. Experience with big data technologies(e.g. Apache Hadoop, Spark, Kafka, Flink) and working with terabyte to petabyte scale data.
2. Experience with cloud data warehouses(eg. Snowflake, Databricks, BigQuery) and modern business intelligence/data stack.
3. Experience with data governance, data privacy and compliance.
4. Experience in the advertising, e-commerce or gaming industry.

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 https://shorturl.at/cdpT2

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $129960 - $194750 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.