Big Data Engineer: Build Scalable Data Pipelines

TikTok; San Jose (CA); Hybrid; USD 128,000 - 317,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Job summary

TikTok in San Jose is seeking a data engineer to design and build scalable data transformations for reporting, growth analysis, and multi-dimensional analytics. You will contribute to robust data systems that support core products and business goals.

The role requires a Bachelor's in CS/Computing, hands-on experience with Hadoop, Spark, Hive, and related tools, and a passion for reliable, extensible data architectures. We offer a dynamic team and opportunities to impact TikTok's data landscape.

Qualifications

• Bachelor's degree in Computer Science, Computing Engineering or related discipline.
• Experience with Big Data technologies (Hadoop, Spark, Hive, Presto, Flume, Kafka, ClickHouse, Flink, etc.).
• Experience with data analysis, data ingestion and data integration.

Responsibilities

• Design and build data transformations efficiently and reliably for reporting and growth analysis.
• Design and implement scalable big data systems supporting core products and business.
• Establish solid design and best engineering practices for engineers and non-technical stakeholders.

Skills

Data analysis

Data ingestion

Data integration

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Hadoop

Spark

Hive

Presto

Kafka

Flume

ClickHouse

Flink

Job description

TikTok in San Jose is seeking a data engineer to design and build scalable data transformations for reporting, growth analysis, and multi-dimensional analytics. You will contribute to robust data systems that support core products and business goals.

The role requires a Bachelor's in CS/Computing, hands-on experience with Hadoop, Spark, Hive, and related tools, and a passion for reliable, extensible data architectures. We offer a dynamic team and opportunities to impact TikTok's data landscape.