Data Engineer, E-Commerce
TikTok
San Jose, CA · Posted November 13, 2026
Just laid off? Start here: a plan for the first weeks
More in California job market · Data Engineer jobs in California (75) · All Data Engineer jobs (656) · Technology & Software · Data & Analytics jobs
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Where San Jose, CA ranks
Where San Jose, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for marketing pay after cost of living$204k · of 16
- #1Best cities for aerospace and defense pay after cost of living$187k · of 19
- #2Best cities for security pay after cost of living$220k · of 10
- #3Best cities for technology pay after cost of living$205k · of 80
- #5Best cities for technology jobs1,449 openings · of 100
- #5Cities with the most jobs that do not need a four-year degree in the West Coast162 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 143 open data engineer listings that state pay, the middle half runs $112,500 to $162,500 and the median is $137,500.
Listed pay is what employers advertise, not what people are paid.
TikTok has filed one layoff notice in the last twelve months, covering 250 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
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About the job
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.
Responsibilities - What You'll Do • 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 • 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.