Data Engineer Graduate, User Growth

Data Engineer Graduate, User Growth

The TikTok User Growth team is central to the strategic acquisition, engagement, and expansion of TikTok's global user base, numbering in the billions. Our mandate encompasses driving significant user inflow through both paid and organic channels worldwide, meticulously optimizing new user conversion pathways to maximize retention, streamlining user outreach mechanisms to foster greater activity, and strategically utilizing independent platforms (e.g., TikTok Lite, TikTok Pro, Web) to capture distinct user segments. These comprehensive approaches are designed to achieve accelerated growth in TikTok's overall DAU. Typical Growth projects including AI-Generated Content (AIGC) creative generating, Search Engine Optimizing of Organic acquisition, Intelligent Ads delivery, etc.

We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Build data pipelines to portray business status, based on a deep understanding of our fast changing business and data-driven approach.
• Extract information and signals from a broad range of data and build hierarchies to accomplish analytical and mining goals for “Packaged Business Capability” such as user-growth, gaming and searching.
• Keep improving the integrity of data pipelines to provide a comprehensive data service.

Qualifications

Minimum Qualification(s):

• Bachelor's degree or above in Computer Science, Statistic, Data Science or a related field.
• Skilled in SQL and additional object-oriented programming language (e.g. Scala, Java, or Python).
• Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

Preferred Qualification(s):

• Strong self-drive and sense of responsibility.

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.

Key skills/competency

• Data Engineering
• SQL
• Python
• Scala
• Java
• Data Pipelines
• User Growth
• Data Analysis
• Business Intelligence
• Big Data