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TikTok

Data Engineer, Data Platform - USDS

TikTok, Mountain View, California, us, 94039


Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

About USDSU.S. Data Security (“USDS”) is a standalone department of TikTok in the U.S. This new security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and user data in the U.S., so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Team IntroductionTiktok's Data Platform Team focuses on challenges in the areas of data infrastructure and data products. The team is in charge of various aspects including Query Engine, Logging and Data Ingestion Infra, Experimentation Platform, as well as Workflow Management Platform. The goal is to support ad-hoc/interactive queries, batch pipelines, logging and ingesting large amounts of realtime data, and supporting A/B testing for all product features launches.

As a data engineer in the data platform team, you will have the opportunity to:Design, build and maintain data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis).Design, implement and maintain reliable, scalable, robust and extensible big data systems that support core products and business.Establish solid design and best engineering practice for engineers as well as non-technical people.

QualificationsBachelor's degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience.Experience in performing data analysis, data ingestion and ETL (Extraction, Transformation & Loading).Experience with the Big Data technologies is a plus (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc).

Job Information:Compensation Description (annually)The base salary range for this position in the selected city is $136800 - $359720 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.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account (HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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