Data Engineer - Data Platform

$145,000 - $355,000/Yr

Tiktok - San Jose, CA

posted 3 days ago

Full-time - Mid Level
San Jose, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. The Data Platform team at TikTok is responsible for building data infrastructures and data products that support various business engineering teams. As a Data Engineer in this team, you will have the unique opportunity to design, optimize, and expand one of the largest data platforms in the world. Your contributions will directly impact the company's core products and the experience of hundreds of millions of users. In this role, you will be tasked with designing and building data transformations that are efficient and reliable for various purposes, including reporting, growth analysis, and multi-dimensional analysis. You will also be responsible for implementing robust, scalable, and extensible big data systems that support TikTok's core products and business operations. Establishing solid design principles and best engineering practices will be crucial, not only for engineers but also for non-technical stakeholders. This position offers a chance to gain hands-on experience with a wide array of systems within the data platform ecosystem, allowing you to grow your skills and knowledge in a fast-paced and innovative environment. At TikTok, we believe that every challenge is an opportunity to learn, innovate, and grow as a team, and we are committed to creating a collaborative and inclusive workplace where creativity thrives.

Responsibilities

  • Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, and multi-dimensional analysis)
  • Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
  • Establish solid design and best engineering practices for engineers as well as non-technical people

Requirements

  • BS or MS degree in Computer Science or related technical field or equivalent practical experience
  • Experience in Big Data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.)
  • Experience with performing data analysis, data ingestion, and data integration
  • Solid communication and collaboration skills
  • Experience with ETL (Extraction, Transformation & Loading) and architecting data systems
  • Experience with schema design and data modeling
  • Experience in writing, analyzing, and debugging SQL queries
  • Deep understanding of various Big Data technologies
  • Passionate and self-motivated about technologies in the Big Data area

Benefits

  • 100% premium coverage for employee medical insurance
  • Approximately 75% premium coverage for dependents
  • Health Savings Account (HSA) with company match
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
  • Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care
  • 10 paid holidays per year
  • 17 days of Paid Personal Time Off (PPTO)
  • 10 paid sick days per year
  • 12 weeks of paid Parental leave
  • 8 weeks of paid Supplemental Disability
  • Mental and emotional health benefits through EAP and Lyra
  • 401K company match
  • Gym and cellphone service reimbursements
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