11 hours ago

Data Engineer (Multiple Positions)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Design and build reliable data ETL pipelines and scalable big data products to support business reporting, risk analysis, and multidimensional analysis. Provide production support for scheduled ETL jobs, handle incidents, and support production releases. Improve data reliability and quality, and collaborate cross-functionally with development teams and business customers to address issues and evolving requirements.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Design and build data ETL pipelines to support business reporting, risk analysis, and multidimensional analysis.
•Design and implement scalable, robust, extensible big data products for core products and business.
•Provide production support for scheduled ETL jobs, including incident management for data and code defects.
•Perform production releases and provide post-production support.
•Continuously improve data reliability and quality and collaborate with development teams and business customers on emerging requirements.

Pay and Benefits

Salary: USD 148,200 - 300,960 annually

Key Requirements

•Master’s degree (or foreign equivalent) in Computer Science/Engineering/IT/Data Science/Business Analytics/Mathematics (or related quantitative field) with 1 year of related work experience; or Bachelor’s (or foreign equivalent) with 3 years.
•1 year of experience designing and modeling a data warehouse for analytics, reporting, and data applications.
•1 year of experience implementing data warehouse and ETL processes using Hive, Spark, Hadoop, or SQL Server to optimize data processing performance.
•1 year of experience programming with SQL, Python, or Java.
•Experience estimating SLAs and triaging/debugging data infrastructure issues, plus building data services/applications using HBase, Elastic Search, ClickHouse, or SQL Server and optimizing query performance.

Experience:1-3 yearsBig dataETLData warehousing

Education:Master's

Tech Stack:SQLPythonJavaHiveSparkHadoopSQL ServerHBaseElastic SearchClickHouse

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

11 hours ago

Data Engineer (Multiple Positions)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Design and build data ETL pipelines to support business reporting, risk analysis, and multidimensional analysis.
•Design and implement scalable, robust, extensible big data products for core products and business.
•Provide production support for scheduled ETL jobs, including incident management for data and code defects.
•Perform production releases and provide post-production support.
•Continuously improve data reliability and quality and collaborate with development teams and business customers on emerging requirements.

Pay and Benefits

Salary: USD 148,200 - 300,960 annually

Key Requirements

•Master’s degree (or foreign equivalent) in Computer Science/Engineering/IT/Data Science/Business Analytics/Mathematics (or related quantitative field) with 1 year of related work experience; or Bachelor’s (or foreign equivalent) with 3 years.
•1 year of experience designing and modeling a data warehouse for analytics, reporting, and data applications.
•1 year of experience implementing data warehouse and ETL processes using Hive, Spark, Hadoop, or SQL Server to optimize data processing performance.
•1 year of experience programming with SQL, Python, or Java.
•Experience estimating SLAs and triaging/debugging data infrastructure issues, plus building data services/applications using HBase, Elastic Search, ClickHouse, or SQL Server and optimizing query performance.

Experience:1-3 yearsBig dataETLData warehousing

Education:Master's

Tech Stack:SQLPythonJavaHiveSparkHadoopSQL ServerHBaseElastic SearchClickHouse

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn