Data Engineer Graduate (Data Platform - Global Live) - 2027 Start

TikTok

San Jose (CA)

On-site

USD 285,000 - 348,000

Full time

4 days ago
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Job summary

TikTok is seeking a data engineer for the Global Live Data Platform team in California. You will build and optimize one of the world’s largest data platforms, enabling real-time and offline data warehousing, data assets, and data-driven decisions for TikTok LIVE features and creators.

The role involves collaborating with global teams to understand problems, design scalable data solutions, and promote data system usage.

Qualifications

  • Bachelor's degree in Computer Science, Computing Engineering or related field.
  • Good experience in data solutions, such as data consulting, product development, and data tools creation.
  • Strong problem-solving and analytical skills with the ability to translate business needs into technical solutions and data metrics.
  • Understanding of data warehousing and construction ideas of the data system.
  • Experience with coding (SQL, Python, etc.).
  • Passionate and self-motivated about using data to drive business decisions.

Responsibilities

  • Understanding business problems, designing and implementing easy-to-use data solutions for businesses.
  • Collaborating with data engineers to understand the data system and provide a smooth data usage experience for data users, including data discovery, data usage guidance, and promotion of the data system.
  • Collaborating with business teams from all over the world to drive user growth and revenue growth.

Skills

SQL
Python
Data analysis

Education

Bachelor's degree in Computer Science or related field
Master's degree preferred

Tools

SQL
Python

Job description

Responsibilities

About the team: The Data Platform Global Live team is dedicated to empowering the growth of TikTok LIVE business through big data. We support our businesses in achieving their missions by building high quality real-time and offline data warehouses, creating various forms of efficient and data-friendly data assets, and exploring and implementing business oriented data solutions leveraging big data technology and LLM. We provide stable and reliable data capabilities for daily operations, analyses, decision-making of TikTok LIVE features, in addition to robust data support to enhance live performance for streamers. As a data engineer in the Global Live team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands‑on experience on all kinds of systems in the data platform ecosystem and explore applications of latest technologies including LLM for data. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users. 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.

Responsibilities
  • Understanding business problems, designing and implementing easy-to-use data solutions for businesses.
  • Collaborating with data engineers to understand the data system and provide a smooth data usage experience for data users, including but not limited to data discovery, data usage guidance, and promotion of the data system.
  • Collaborating with business teams from all over the world to drive user growth and revenue growth.
Qualifications
  • Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Computing Engineering or a related discipline.
  • Good experience in data solutions, such as data consulting, product development, and data tools creation.
  • Strong problem-solving and analytical skills with the ability to translate business needs into technical solutions and data metrics.
  • Have an understanding of data warehousing and the construction ideas of the data system.
  • Experience with coding (SQL, Python, etc.)
  • Passionate and self-motivated about using data to drive business decisions.
Preferred Qualifications
  • Individuals who are completing or have recently completed a Master's degree in Computer Science, Computing Engineering or a related discipline.
Job Information

【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $128000 - $316800 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
  • 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.

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

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