5,081 jobs for "data and analytics"

Big Data Engineer Intern (TikTok Live Recommendation Architecture) - 2027 Start

At TikTok

Posted on Aug 3

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Business Manager, Client Acquisition and Management Platform

At Capital One - McLean · New York

Posted on Jul 15

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Senior Data Engineer & Scientist - Apple

At Apple - Seoul

Posted on Jun 30

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Asset Management - Data Engineer, Investment

At JPMorgan Chase - Shanghai

Posted on May 29

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Strategy and Operations Manager - US Governance & Experience - TikTok Shop

At TikTok - Seattle

Posted on May 14

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Senior Data Operations Manager

At Cadence - San Jose

Posted on Apr 10

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Senior Data Scientist

At Mars Incorporated - Remote / Flexible

Posted on Oct 1

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Sr. Manager, Data Analysis

At Capital One

Posted on May 28

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Senior Manager, Sales Analytics

At CarGurus - Boston

Posted on Nov 4

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Senior Data Engineer

At Kyndryl - Remote / Flexible

Posted on Oct 30

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Data Engineer II

At GM Financial - Arlington

Posted on Oct 22

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Data Engineer

At GM Financial - Arlington

Posted on Oct 17

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Data Engineer

At GM Financial - Arlington

Posted on Oct 17

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Director, Product Management (Data & Agentic AI Platform)

At Achieve - San Mateo

Posted on Oct 16

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Associate Director, Business Insights & Analytics - Head & Neck Oncology

At Genmab - Princeton

Posted on Oct 7

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Associate Director, Business Insights & Analytics - Gyn-Onc

At Genmab - Princeton

Posted on Oct 5

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Sr Data Engineering & Analytics Director

At McLane - Temple

Posted on Sep 22

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Senior Analyst, Workforce Strategy & Analytics - Remote Opportunity

At KinderCare Learning Companies - Remote / Flexible

Posted on Sep 17

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AVP Data Science

At GM Financial - Fort Worth

Posted on Aug 28

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Data Science Manager

At Southern California Edison (SCE) - Pomona

Posted on Aug 6

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TikTok

Big Data Engineer Intern (TikTok Live Recommendation Architecture) - 2027 Start

SingaporePosted Aug 3, 2026

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Responsibilities

Our Live Recommendation Architecture Team is responsible for building up and optimizing the architecture for live broadcast recommendation system to provide the most stable and best experience for our 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. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities
- Design and implement offline and real-time data processing architectures for live broadcast recommendation systems
- Build distributed storage and stream computing systems optimized for high-volume real-time live streaming data processing
- Develop real-time data analytics platforms to support live broadcast business operation and algorithm iteration

Qualifications

Minimum Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline
- Familiarity with big data frameworks including Hadoop, Hive, Flink, Spark, Kafka, HBase, or RocksDB
- Proficiency in Java or C++ programming, with strong coding and troubleshooting abilities

Preferred Qualifications:
- Experience with real-time data processing or live streaming related systems
- Strong sense of ownership and ability to deliver results in fast-paced environments
- Good team collaboration skills and cross-cultural communication abilities

Responsibilities

Qualifications

Qualifications

Minimum Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline
- Familiarity with big data frameworks including Hadoop, Hive, Flink, Spark, Kafka, HBase, or RocksDB
- Proficiency in Java or C++ programming, with strong coding and troubleshooting abilities

Preferred Qualifications:
- Experience with real-time data processing or live streaming related systems
- Strong sense of ownership and ability to deliver results in fast-paced environments
- Good team collaboration skills and cross-cultural communication abilities

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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