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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Big Data Engineer Graduate (TikTok Recommendation Architecture) - 2027 Start - **Company:** Tiktok Inc. - **Location:** San Jose, CA, United States - **Experience:** Starter - **Salary:** $128,000.0 - $316,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Frameworks, Big Data, Business Systems, C++ (Programming Language), Data Architecture, Data Transformation, Data Mining, Distributed Systems, Elasticsearch, Apache HBase, Apache Hive, Machine Learning, Natural Language Processing, Online Service Provider, Performance Tuning, Recommender Systems, Redis, DataOps, Data Streaming, Data Processing, System Availability, Apache Spark, Computerised Systems, Information Technology, Apache Flink, Apache Kafka, Dynamic Data, Programming Languages - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=11549054c9eb4104 ## About the Role Minimum Qualification(s) * Individuals who are completing or have recently completed a Bachelor's degree in Computer Science or a related discipline. * Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc. * Familiar with Java, C ++ and other programming languages * Strong coding and trouble shooting ability * Willing to challenge questions that have no obvious answers, and have a strong enthusiasm for learning new technologies Preferred Qualifications: * Experience of Peta Byte level data processing is a plus, Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment ## Description About The Team Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems., * Design and implement a reasonable offline data architecture for large-scale recommendation systems * Design and implement flexible, scalable, stable and high-performance storage and computing systems * Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system * Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems * Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software * Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets * Visualise, interpret, and report data findings and may create dynamic data reports as well ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Where to Find Entry-Level Software Engineering Jobs](https://www.wearedevelopers.com/magazine/397-where-to-find-entry-level-software-engineering-jobs) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)