Data Platform Engineer Jobs in Mountain View, CA
Data Platform Engineer jobs in Mountain View, California are in active demand, with employers like Google, Nuro, and Waymo among those hiring. Find a role that fits below and apply directly.
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Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle.
Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform.
Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency.
With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster.
Position Summary
About The Role
- 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.
- 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.
About You
- 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.
- Experience with big data technologies such as BigQuery, Spark, Kafka, DBT, SQLMesh etc.
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong SQL skills and experience working with relational and NoSQL databases.
- 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.
Preferred Experience
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Knowledge of machine learning techniques and frameworks.
- Experience with DevOps practices and tools for CI/CD.
Work Location
Mountain View, CA - Hybrid (3 days / week onsite)
What You Will Have At Harness
- Competitive salary
- Comprehensive healthcare benefits
- Flexible Spending Account (FSA)
- Flexible work schedule
- Employee Assistance Program (EAP)
- Flexible Time Off and Parental Leave
- Monthly, quarterly, and annual social and team building events
- Monthly internet reimbursement
Harness In The News:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
At Harness, we care about your privacy and are committed to protecting your personal data. For additional information on this topic, you can visit our privacy Portal:
Note on Fraudulent Recruiting/Offers
We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.
Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.
If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at . You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (, or you can contact your local law enforcement agency.
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle.
Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform.
Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency.
With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster.
Position Summary
About The Role
- 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.
- 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.
About You
- 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.
- Experience with big data technologies such as BigQuery, Spark, Kafka, DBT, SQLMesh etc.
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong SQL skills and experience working with relational and NoSQL databases.
- 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.
Preferred Experience
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Knowledge of machine learning techniques and frameworks.
- Experience with DevOps practices and tools for CI/CD.
Work Location
Mountain View, CA - Hybrid (3 days / week onsite)
What You Will Have At Harness
- Competitive salary
- Comprehensive healthcare benefits
- Flexible Spending Account (FSA)
- Flexible work schedule
- Employee Assistance Program (EAP)
- Flexible Time Off and Parental Leave
- Monthly, quarterly, and annual social and team building events
- Monthly internet reimbursement
Harness In The News:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
At Harness, we care about your privacy and are committed to protecting your personal data. For additional information on this topic, you can visit our privacy Portal:
Note on Fraudulent Recruiting/Offers
We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.
Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.
If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at . You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (, or you can contact your local law enforcement agency.
See All 26 Data Platform Engineer Jobs in Mountain View
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Find Data Platform Engineer JobsData Platform Engineer Job Market in Mountain View
Who's Hiring
- Google6
- Nuro5
- Waymo3
- Databricks3
- Amazon2
Top Industries Hiring
- Technology & Software24
- Artificial Intelligence7
- Retail3
- E-Commerce & Online Marketplaces2
Data Platform Engineer Jobs in Mountain View: Frequently Asked Questions
How many data platform engineer jobs are there in Mountain View?
There are 26+ data platform engineer openings in Mountain View, California on Migrate Mate as of June 2026. New positions post regularly as Mountain View employers hire.
Which companies hire data platform engineers in Mountain View?
Companies currently hiring data platform engineers in Mountain View include Google, Nuro, and Waymo, per current listings on Migrate Mate as of June 2026.
Are there remote data platform engineer jobs in Mountain View?
Yes. About 8% of data platform engineer openings tied to Mountain View are remote or hybrid as of June 2026. The rest are on-site roles based in and around Mountain View.
Which industries hire the most data platform engineers in Mountain View?
Mountain View data platform engineer roles concentrate in Technology & Software, Artificial Intelligence, and Retail, based on current listings on Migrate Mate as of June 2026.
Related Jobs in California
See All 26 Data Platform Engineer Jobs in Mountain View
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