Data Engineer: ETL & Big Data Pipelines

ByteDance; Seattle (WA); On-site; USD 148,000 - 301,000; Full time

Job summary

ByteDance in Bellevue, WA is seeking a data engineering professional to design and build robust ETL pipelines and scalable data products supporting business analytics. You will provide production support and drive improvements in data reliability and quality, collaborating with development teams and stakeholders.

The role emphasizes data warehousing, big data tooling, and strong programming in SQL/Python/Java to optimize data processing and query performance.

Qualifications

• Master’s degree or Bachelor’s degree in Computer Science, Engineering (any), Information Technology, Data Science, Mathematics, or a related field.
• 1 year of related work experience OR 3 years with Bachelor’s in the same fields.
• 1 year in each: designing data warehouses, ETL with Hive/Spark/Hadoop/SQL Server, programming with SQL/Python/Java, SLAs for data pipelines, and building data services with HBase/Elastic Search/ClickHouse/SQL Server.

Responsibilities

• Design and build data ETL pipelines to support business reports, risk analysis, and multi-dimensional analysis.
• Design and implement reliable, scalable data products for core services and analytics.
• Provide production support for scheduled ETL jobs and manage incidents related to data and code defects.
• Perform production releases and post-production support.
• Improve data reliability and quality through ongoing enhancements.
• Collaborate with development teams and business customers on evolving data requirements.
• Gather and refine evolving business and functional requirements.

Skills

Data warehousing

ETL design

Programming in SQL/Python/Java

SLA estimation & triage

Data services development

Education

Master’s degree or Bachelor’s degree in Computer Science/Engineering/IT/Data Science/Math

Tools

Hive

Spark

Hadoop

SQL Server

HBase

Elastic Search

ClickHouse

Job description

ByteDance in Bellevue, WA is seeking a data engineering professional to design and build robust ETL pipelines and scalable data products supporting business analytics. You will provide production support and drive improvements in data reliability and quality, collaborating with development teams and stakeholders.

The role emphasizes data warehousing, big data tooling, and strong programming in SQL/Python/Java to optimize data processing and query performance.