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TikTok · 4 weeks ago

Senior/Staff Big Data Storage and Computing Engineer, Recommendation Data Ecosystem

Seattle, WA

Full-time

Onsite

Senior Level, Lead/Staff

$198K/yr - $416K/yr

2+ years exp

TikTok is the leading destination for short-form mobile video. They are seeking a Senior/Staff Big Data Storage and Computing Engineer to design and implement offline and real-time data architectures for large-scale recommendation, search, and advertising systems, ensuring high system reliability and efficient data processing.

Content CreatorsContent DiscoveryMedia and EntertainmentSocial MediaVideo

H1B Sponsor Likely

Responsibilities

Architecture Design and Implementation: Design and implement offline and real-time data architectures for large-scale recommendation, search, and advertising systems based on Paimon and Flink. Ensure efficient data processing and storage to meet the strict requirements of the business for data timeliness and accuracy

System Construction and Optimization: Design and implement flexible, scalable, stable, and high-performance storage systems and computing models. Use Paimon as the storage foundation and combine it with the powerful computing capabilities of Flink. Continuously optimize system performance to cope with the challenges brought by business growth

Troubleshooting and Stability Assurance: Be responsible for troubleshooting production systems. For problems that occur in the Paimon-Flink architecture during operation, design and implement necessary mechanisms and tools, such as data consistency assurance and exception recovery, to ensure the overall stability of the production system

Distributed System Construction: Build industry-leading distributed systems, including offline and online storage based on Paimon and batch and stream processing frameworks based on Flink, providing solid and reliable infrastructure support for massive data and large-scale business systems

Qualification

PaimonFlinkData Lake TechnologyHDFSJavaC++ScalaLearning new technologiesData warehouse modelingHandling large-scale dataProblem-solving

Required

A bachelor's degree or above in computer science, software engineering, or related fields, with more than 2 years of experience in building scalable systems

Have a thorough understanding of Paimon and Flink, and be able to understand and use them at the source-code level

Have an in-depth understanding of at least one data lake technology (such as Paimon), with practical implementation and customization experience

Be familiar with the principles of HDFS, and knowledge of columnar storage formats such as Parquet and ORC

Be proficient in programming languages such as Java, C++, and Scala, with strong coding and problem-solving abilities

Have experience in data warehouse modeling and be able to design efficient data models that meet complex business scenarios

Have the courage to take on complex problems and be willing to explore problems without clear solutions

Be passionate about learning new technologies and be able to quickly master and apply them to practical work

Preferred

Experience in customizing or extending Paimon and Flink

Experience in using other big-data systems/frameworks (such as Hive, HBase, Kudu, etc.)

Experience in handling large-scale data (PB - level and above)

Benefits

Employees have day one access to medical, dental, and vision insurance

A 401(k) savings plan with company match

Paid parental leave

Short-term and long-term disability coverage

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

Company

TikTok

Glassdoor3.4

TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance.

Founded in 2003

Los Angeles, California, USA

10001+ employees

https://www.tiktok.com

H1B Sponsorship

TikTok has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (979)

2024 (601)

2023 (387)

2022 (322)

2021 (133)

2020 (72)