> Markdown version of [/jobs/ext/4589790-data-engineer-e-commerce](https://www.wearedevelopers.com/jobs/ext/4589790-data-engineer-e-commerce). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, E-Commerce - **Company:** Tiktok Inc - **Location:** San Jose, CA, United States - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Databases, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, R (Programming Language), Apache Hadoop, Apache Hive, SQL Databases, Data Ingestion, Apache Spark, Build Management, Apache Flume, Information Technology, Apache Flink, Apache Kafka, Data Management, Presto, Vertica - **Published:** November 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-e-commerce-san-jose-ca--31015165-5550-430f-b366-aa225746a82f ## About the Role eCommerce, eCommerce, Ecosystems, Analysis Skills, Big Data, Product Support, Best Practices, Computer Science, Data Analysis, Database Extract Transform and Load (ETL), * BS or MS degree in Computer Science or related technical field or equivalent practical experience; * Experience in the 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. ## Description As a Data Engineer in the Data Platform E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You ll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company s core products as well as hundreds of millions of users., * 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. Minimum Qualifications