Data Engineer Graduate (Monetization Data) - 2027 Start

TikTok; San Jose (CA); On-site; USD 128,000 - 256,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

Paid Personal Time

Job summary

TikTok is seeking a data engineer for the Monetization Data team to design and operate large-scale batch and real-time data pipelines, data warehouses, and analytics platforms that power advertising and monetization products. You will collaborate with product managers, data scientists, and engineers to deliver insights and improve advertiser experience.

The role emphasizes building reliable data models, datasets, and metrics, while advancing data infrastructure and platform reliability across

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Statistics, Mathematics or related discipline.
• Strong programming skills in Python, Java or Go.
• Strong SQL skills and understanding of relational databases, data modeling, or data warehousing concepts.
• Familiarity with distributed data processing or storage systems such as Spark, Flink, Hadoop, Hive, Kafka, Presto/Trino, or similar technologies.
• Strong problem-solving skills, data-driven thinking, and ability to use data to identify issues, form hypotheses, and validate solutions.
• Ability to work collaboratively in a fast-paced, cross-functional engineering environment.

Responsibilities

• Design, build, and maintain scalable batch and real-time data pipelines to process large-scale user behavior, advertising, and monetization data.
• Develop reliable data models, datasets, and metrics that support ads ranking, measurement, experimentation, business analytics, and strategic decision-making.
• Partner with product managers, data scientists, analysts, and engineering teams to understand data needs, define success metrics, and deliver actionable insights.
• Improve data quality, observability, latency, cost efficiency, and platform reliability across large-scale distributed systems.
• Contribute to the evolution of big data infrastructure and computing platforms, including Spark, Flink, Hive, Kafka, and related internal systems.

Skills

Python

Java

Go

Education

Bachelor's or Master's in CS/CE/Data Science/Statistics/Math

Tools

Spark

Flink

Hadoop

Hive

Kafka

Presto/Trino

Job description

Responsibilities

The Monetization Data team builds the data foundation that powers TikTok's global advertising and monetization products. We design and operate large-scale batch and real-time data pipelines, data warehouses, and analytics platforms that help improve advertiser experience, measure business performance, support experimentation, and drive product and strategy decisions.

Responsibilities

The Monetization Data team builds the data foundation that powers TikTok's global advertising and monetization products. We design and operate large-scale batch and real-time data pipelines, data warehouses, and analytics platforms that help improve advertiser experience, measure business performance, support experimentation, and drive product and strategy decisions.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Key Responsibilities

• Design, build, and maintain scalable batch and real-time data pipelines to process large-scale user behavior, advertising, and monetization data.


• Develop reliable data models, datasets, and metrics that support ads ranking, measurement, experimentation, business analytics, and strategic decision-making.


• Partner with product managers, data scientists, analysts, and engineering teams to understand data needs, define success metrics, and deliver actionable insights.


• Improve data quality, observability, latency, cost efficiency, and platform reliability across large-scale distributed systems.


• Contribute to the evolution of big data infrastructure and computing platforms, including Spark, Flink, Hive, Kafka, and related internal systems.

Qualifications

Minimum Qualifications:

• Individuals who are completing or have recently completed a Bachelor's or Mster's degree in Computer Science, Computer Engineering, Data Science, Statistics, Mathematics or a related discipline.


• Strong programming skills in at least one general-purpose language such as Python, Java or Go.


• Strong SQL skills and understanding of relational databases, data modeling, or data warehousing concepts.


• Familiarity with distributed data processing or storage systems such as Spark, Flink, Hadoop, Hive, Kafka, Presto/Trino, or similar technologies.


• Strong problem-solving skills, data-driven thinking, and ability to use data to identify issues, form hypotheses, and validate solutions.


• Ability to work collaboratively in a fast-paced, cross-functional engineering environment.

Preferred Qualifications

• Internship, research, coursework, or project experience in data engineering, backend engineering, distributed systems, data analytics, or machine learning infrastructure.


• Experience building ETL/ELT pipelines, workflow orchestration, data quality checks, dashboards, or analytical datasets.


• Experience with advertising technology, recommendation systems, experimentation platforms, or user behavior data analysis.


• Familiarity with cloud data platforms, lakehouse architectures, or modern data tools such as Airflow, dbt, Iceberg, Delta Lake, Snowflake, BigQuery, Redshift, or Databricks.


• Experience using AI-assisted development tools, LLM applications, or agentic workflows to improve engineering productivity.


• Contributions to open-source projects, technical communities, hackathons, or substantial personal projects.


• Experience contributing to open-source projects and the community; candidates with experience in big data processing or user behavior data analysis is a plus but not required.

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $128000 - $256000 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:

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


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


• Exercising sound judgment.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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 Accommodation

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://tinyurl.com/RA-request