Data Engineer Jobs in Mountain View, CA
Data Engineer jobs in Mountain View are in high demand, concentrated in the Castro Street corridor, Middlefield Road tech cluster, and the North Bayshore innovation district across cloud infrastructure, AI platforms, and enterprise software. Employers hiring right now include Nuro, Google, and Intuit. Scan the live roles below and apply to whichever ones fit.
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Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what's possible for industrial robotics in the near future – with software and data at the core.
Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
Role
As a Software Engineer on the Data Infrastructure team, you will be responsible for designing, building, and maintaining the data infrastructure that powers our cutting-edge robotics systems. Your software will enable design, development, and operational robotic workflows, integrating with Kubernetes based cloud and on-device services. This includes the systems that collect and process data from our robots in the real world, and feed that data into our machine learning pipelines to train and evaluate the models that make our robots intelligent. You will collaborate with a passionate Product and Engineering team creating software that enables fleets of robots to build better.
How your work moves the mission forward
- Design, develop, and maintain scalable and reliable software infrastructure for collecting, processing, and storing large volumes of robotics data (e.g., sensor data, telemetry, logs).
- Build and maintain tools to enable developers to debug their robotics systems.
- Build internal developer tools, telemetry pipelines, and infrastructure services to inspect and validate real-time robot operations.
- Implement and maintain data security and privacy best practices.
- Work with Customers, Product managers, and Researchers to customize data pipelines for analysis and research.
Skills you will need to be successful
- Experience contributing to medium to large software projects for at least 4 years.
- Production proficiency in C++ or Go; or advanced Python (concurrent systems, performance optimization, and architectural design—not scripting/notebooks).
- Excellent communication and collaboration skills.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
Skills that will differentiate your candidacy
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Experience with data governance and compliance.
- Familiarity with frontend development.
- Familiarity with robotics systems.
***This role sits within core platform software engineering. You will be building distributed ingestion systems and services that interface with robotics runtimes. Our technical assessment includes live algorithms/data structures coding (no AI tools permitted) and systems architecture design. Candidates whose background is primarily analytics, dashboarding, or standard SQL ETL typically do not align with this technical bar.***
The base salary for this full-time position is between $180,000 - $197,000 (USD) + 15% bonus + equity + benefits. Your recruiter will share more about the specific salary range for your targeted location during the hiring process.
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what's possible for industrial robotics in the near future – with software and data at the core.
Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
Role
As a Software Engineer on the Data Infrastructure team, you will be responsible for designing, building, and maintaining the data infrastructure that powers our cutting-edge robotics systems. Your software will enable design, development, and operational robotic workflows, integrating with Kubernetes based cloud and on-device services. This includes the systems that collect and process data from our robots in the real world, and feed that data into our machine learning pipelines to train and evaluate the models that make our robots intelligent. You will collaborate with a passionate Product and Engineering team creating software that enables fleets of robots to build better.
How your work moves the mission forward
- Design, develop, and maintain scalable and reliable software infrastructure for collecting, processing, and storing large volumes of robotics data (e.g., sensor data, telemetry, logs).
- Build and maintain tools to enable developers to debug their robotics systems.
- Build internal developer tools, telemetry pipelines, and infrastructure services to inspect and validate real-time robot operations.
- Implement and maintain data security and privacy best practices.
- Work with Customers, Product managers, and Researchers to customize data pipelines for analysis and research.
Skills you will need to be successful
- Experience contributing to medium to large software projects for at least 4 years.
- Production proficiency in C++ or Go; or advanced Python (concurrent systems, performance optimization, and architectural design—not scripting/notebooks).
- Excellent communication and collaboration skills.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
Skills that will differentiate your candidacy
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Experience with data governance and compliance.
- Familiarity with frontend development.
- Familiarity with robotics systems.
***This role sits within core platform software engineering. You will be building distributed ingestion systems and services that interface with robotics runtimes. Our technical assessment includes live algorithms/data structures coding (no AI tools permitted) and systems architecture design. Candidates whose background is primarily analytics, dashboarding, or standard SQL ETL typically do not align with this technical bar.***
The base salary for this full-time position is between $180,000 - $197,000 (USD) + 15% bonus + equity + benefits. Your recruiter will share more about the specific salary range for your targeted location during the hiring process.
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
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Find Data Engineer JobsData Engineer Job Market in Mountain View
Who's Hiring
- Nuro105
- Google105
- Intuit105
- OpenAI52
- Arta Finance52
Top Industries Hiring
- Technology & Software184
- Retail52
- E-Commerce & Online Marketplaces26
Data Engineer Jobs in Mountain View: Frequently Asked Questions
How do I get a data engineer job in Mountain View?
Focus your search on Mountain View's dense concentration of cloud, AI, and consumer technology employers along North Bayshore and the Middlefield Road corridor. Companies there prioritize hands-on experience with distributed systems, pipeline orchestration, and real-time data processing. Candidates who can demonstrate contributions to production-scale systems, whether through prior roles or open-source projects, tend to stand out in a market where most hiring teams are technically sophisticated and move quickly.
Which companies hire data engineers in Mountain View?
Mountain View data engineer roles are posted by Nuro, Google, and Intuit and others right now, based on current listings on Migrate Mate as of September 2026. Mountain View attracts a mix of large established technology platforms and growth-stage companies building AI and data infrastructure products, so openings range from senior specialist roles to founding data team positions.
Are there remote data engineer jobs in Mountain View?
Yes, though it depends on the role. Data engineering is analytically desk-based, making it more remote-compatible than hands-on technical positions, but many Mountain View employers still prefer on-site or hybrid for collaborative pipeline and architecture work. About 33% of data engineer openings tied to Mountain View are remote or hybrid as of September 2026. Roles focused on data modeling, analytics engineering, and cloud infrastructure tend to offer the most location flexibility locally.
How can I get a data engineer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is targeting junior data analyst or analytics engineer roles at mid-size technology companies and AI startups along the North Bayshore corridor, where smaller teams often need generalist contributors who can grow into dedicated data engineering work. Building a portfolio that includes ETL pipelines, SQL-heavy projects, or cloud data warehouse work on platforms common in the local market, such as BigQuery or Snowflake, gives early-career candidates a concrete edge when applying to Mountain View employers.
Which industries hire the most data engineers in Mountain View?
The sectors hiring the most data engineers in Mountain View are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of September 2026. Mountain View's position at the center of Silicon Valley means those sectors are represented by both global technology platforms and well-funded startups, creating consistent demand across experience levels.
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