Data Engineer, Global Live

$158,080 - $289,469/Yr

Tiktok - Seattle, WA

Full-time - Mid Level

Seattle, WA

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 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. We provide stable and reliable data capabilities for daily operations, analyses, and 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 gain hands-on experience with all kinds of systems in the data platform ecosystem. Your work will have a direct and significant impact on the company's core products as well as hundreds of millions of users. This role is crucial in designing and implementing reliable, scalable, robust, and extensible big data systems that support core products and business operations. You will also establish solid design and best engineering practices for engineers and non-technical personnel alike.

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 practice 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 a 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