Data Platform Engineer: Build a World-Scale Data Engine

TikTok

San Jose (CA)

On-site

USD 128,000 - 317,000

Full time

2 days ago
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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with company match
Paid parental leave
10 holidays, 10 sick days, 17 personal

Job summary

TikTok is seeking a Data Engineer to join the data platform team, contributing to one of the world’s largest data platforms and impacting core products and hundreds of millions of users. The role emphasizes building scalable data transformations and robust data systems while collaborating across teams.

Successful candidates should have a strong background in Big Data technologies, data ingestion/integration, and ETL, with a focus on scalable, reliable design.

Qualifications

  • Bachelor’s degree in Software Development, Computer Science, Computer Engineering or related field.
  • Experience with Big Data technologies (Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.).
  • Experience with data analysis, data ingestion and data integration.

Responsibilities

  • Design and build data transformations for reporting, growth analysis, and multi-dimensional analysis.
  • Design and implement reliable, scalable big data systems that support core products.
  • Establish solid design and engineering practices for engineers and non-technical stakeholders.

Skills

Big Data technologies
Data analysis
Data ingestion
Data integration
ETL
Hadoop
Hive
Spark
Kafka
ClickHouse
Flink
Presto
Metastore

Education

Bachelor's degree in Software Development, Computer Science, Computer Engineering or related
Master's degree in Software Development, Computer Science, Computer Engineering or related

Tools

Hadoop
Hive
Spark
Kafka
ClickHouse
Flink
Presto
Metastore

Job description

TikTok is seeking a Data Engineer to join the data platform team, contributing to one of the world’s largest data platforms and impacting core products and hundreds of millions of users. The role emphasizes building scalable data transformations and robust data systems while collaborating across teams.

Successful candidates should have a strong background in Big Data technologies, data ingestion/integration, and ETL, with a focus on scalable, reliable design.

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