Hiring: Staff Software Engineer - Data Platform Company: Harness Location: Mountain View, CA Job Posted Time: 2026-09-16 13:18:24 Employment Type: Hybrid Target Skills & Keywords : AWS, AppDynamics, Azure, BigQuery, CI/CD, Data Pipeline, Docker, ELT, ETL, Embedded Systems, GCP, Java, Kafka, Kubernetes, Machine Learning, Python, SQL, Scala, Spark, Zoom, dbt About the job Experience: •Knowledge of machine learning techniques and frameworks. •Mountain View, CA - Hybrid (3 days / week onsite) •What you will have at Harness Required Skills: •Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and storage. •Partner cross-functionally 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. •Stay updated with the latest technologies and best practices in data engineering and apply them to improve existing systems. •Document data architecture, processes, and workflows. •Provide support and guidance to junior members of the team. Qualifications: •Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred. •9+ yrs of proven experience as a data engineer or similar role, with a strong background in data warehousing, ETL/ELT processes, and data modeling. •Proficiency in programming languages such as Python, Java, or Scala. •Applied hands-on capability in cloud platforms such as AWS, Azure, or Google Cloud. •Strong SQL skills and experience working with relational and NoSQL databases. •Operational familiarity with data visualization tools such as Tableau, Power BI, or Looker. •Excellent problem-solving and analytical skills. •Strong communication and collaboration skills, with the ability to work effectively in a team environment. Compensation: •$180,000 - $220,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!