Software Engineer, Data Streaming

$137,750 - $237,500/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. As part of our ads data platform team, you will work closely with product managers and data analysts to build state-of-the-art streaming and batch data processing solutions. This role is crucial as it supports both the TikTok ads platform and our internal business intelligence platform. You will have the opportunity to work with Petabyte-level data warehouses and tackle some of the most challenging technical and business problems in the industry. Your contributions will have a direct impact on the company's business success, making this a highly rewarding position. In this role, you will be responsible for the development and optimization of TikTok's commercial real-time data warehouse. This includes streaming data modeling, architecture design, and the development of real-time metric calculations. You will need to leverage your deep understanding of computer principles, data structures, and algorithms, as well as your theoretical knowledge of data warehouses to excel in this position. Familiarity with streaming computing principles and the technical solutions for large-scale streaming data will be essential. You will also be expected to communicate effectively, understand business contexts quickly, and integrate technology with business needs seamlessly.

Responsibilities

• Responsible for the development and optimization of TikTok's commercial real-time data warehouse.
• Responsible for streaming data modeling, architecture design and development of real-time metric calculation.

Requirements

• Have a deep understanding of computer principles, data structures, and algorithms.
• Familiar with the principles of streaming computing and technical solutions for large-scale streaming data.
• Familiar with the development and use of real-time computing engines such as Kafka, Flink, Hive, HBase, Clickhouse, and Elasticsearch.
• Good at communication, sensitive to business, and able to quickly understand business background.

Nice-to-haves

• Experience in large-scale streaming data computing and data warehouses is preferred.
• Experience with Go language development is preferred.

Benefits

• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with company match
• Dental and Vision insurance
• Short/Long term Disability insurance
• Basic Life, 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 and cellphone service reimbursements