Data Engineer, E-Commerce

$158,080 - $289,469/Yr

Tiktok - Seattle, WA

posted 4 days ago

Full-time - Mid Level
Seattle, WA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

As a Data Engineer in the Global E-Commerce team at TikTok, you will play a crucial role in building and optimizing one of the largest data platforms in the world. This position offers the opportunity to work on a variety of systems within the data platform ecosystem, directly impacting the company's core products and the experience of hundreds of millions of users. The Global E-Commerce team is dedicated to developing data infrastructure and data products that support business engineering teams working on TikTok's E-Commerce platform. In this role, you will be responsible for designing and building data transformations that are efficient and reliable for various purposes, including reporting, growth analysis, and multi-dimensional analysis. You will also design and implement robust, scalable, and extensible big data systems that support core products and business operations. Establishing solid design principles and best engineering practices will be essential, as you will be working with both technical engineers and non-technical stakeholders. Your work will not only enhance the data capabilities of TikTok but also contribute to the overall mission of inspiring creativity and bringing joy to users worldwide. TikTok values humility, intelligence, compassion, and creativity, and as part of this team, you will be encouraged to pursue bold ideas and take calculated risks in a supportive environment.

Responsibilities

  • Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, 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.
  • Experience with ETL (Extraction, Transformation & Loading) and architecting data systems.
  • Experience with schema design, data modeling, and SQL queries.
  • 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 insurance
  • Vision insurance
  • Short/Long term Disability insurance
  • Basic Life insurance
  • Voluntary Life and AD&D insurance plans
  • Flexible Spending Account (FSA) Options
  • 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 reimbursement
  • Cellphone service reimbursement
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