Data Engineer - Data Platform

San Jose, California, US Until 8/21/2026 H-1B sponsor history First posted March 29, 2026 Last posted March 29, 2026
Job description

Description

As a data engineer in the data platform 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.

Requirements

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.

About this role

Summary

Build and optimize scalable data systems supporting core products and analysis.

Job title

Data Engineer - Data Platform

Experience level

null

Industry

software

Location requirements

Must be in San Jose, CA, remote not specified.

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

HadoopSparkKafkaSQLschema design

Preferred skills

None specified

Specializations

big dataETLSQLdata modelingdata analysis
Locations

Structured locations inferred from the posting.

San Jose, CA, USA

On-site City