Data Engineer Graduate (Monetization Data) - 2027 Start

Tiktok Inc.
San Jose, CA, United States
about 1 month ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
$128,000.0 - $256,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Airflow Business Analytics Applications Data Analysis Computing Platforms Big Data BigQuery Computer Programming Computer Engineering Data Validation Information Engineering Data Warehousing
+25 more
Relational Databases Database Queries Distributed Computing Environment Distributed Systems Apache Hadoop Apache Hive Python (Programming Language) Machine Learning Open Source Technology Recommender Systems Cloud Services Workflow Management Systems System Availability Large Language Models Snowflake Apache Spark Data Lakes Information Technology Low Latency Apache Flink Data Analytics Apache Kafka Presto Amazon Redshift Databricks

Job description

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., * 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.

Requirements

  • 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., * 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., 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

Benefits & conditions

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.

About the company

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., 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., 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.

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