Harness

4 weeks ago

Staff Software Engineer - Data Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead design, development, and maintenance of data pipelines and infrastructure for Harness’s data platform. Collaborate with data scientists and analysts to meet data requirements, enforce data quality, optimize pipelines for performance, and guide junior team members in a hybrid Mountain View setting.

Location: Mountain View

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and storage.
•Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions to meet business needs.
•Implement data quality checks and ensure data integrity and reliability throughout the data lifecycle.
•Optimize and tune data pipelines for performance and efficiency.
•Troubleshoot and debug data-related issues, and provide timely resolution.

Pay and Benefits

Salary: USD 180,000 - 220,000 annually

Perks:Health InsuranceFsaParental Leave

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or related field; Master’s degree preferred.
•9+ years of proven experience as a data engineer or similar role with strong background in data warehousing, ETL/ELT, and data modeling.
•Proficiency in Python, Java, or Scala.

Experience:9+ yearsData engineeringData warehousingCloud computingBig data

Education:Master's

Skills:Problem-solvingCommunicationCollaborationAnalytical thinking

Languages:English

Tech Stack:PythonJavaScalaBigQuerySparkKafkaDBTSQLMeshAWSAzureGoogle CloudSQLNoSQLTableauPower BILookerDockerKubernetes

Company Brief

Harness

Provides a continuous delivery and software delivery platform that automates deployment, feature releases, rollbacks, and cloud cost optimization using machine learning to help engineering teams deliver changes quickly and safely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn

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Harness

4 weeks ago

Staff Software Engineer - Data Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Mountain View

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and storage.
•Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions to meet business needs.
•Implement data quality checks and ensure data integrity and reliability throughout the data lifecycle.
•Optimize and tune data pipelines for performance and efficiency.
•Troubleshoot and debug data-related issues, and provide timely resolution.

Pay and Benefits

Salary: USD 180,000 - 220,000 annually

Perks:Health InsuranceFsaParental Leave

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or related field; Master’s degree preferred.
•9+ years of proven experience as a data engineer or similar role with strong background in data warehousing, ETL/ELT, and data modeling.
•Proficiency in Python, Java, or Scala.

Experience:9+ yearsData engineeringData warehousingCloud computingBig data

Education:Master's

Skills:Problem-solvingCommunicationCollaborationAnalytical thinking

Languages:English

Tech Stack:PythonJavaScalaBigQuerySparkKafkaDBTSQLMeshAWSAzureGoogle CloudSQLNoSQLTableauPower BILookerDockerKubernetes

Company Brief

Harness

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn