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Live In Data Platform Engineer Jobs in Sunnyvale, CA

Data Platform Architect

San Francisco, CA · On-site

$75 - $96.50/hr

... in data engineering, data architecture, or platform engineering; bachelor's degree or higher, or ... equivalent combination of education and experience * You have designed and delivered modern, cloud ...

Behind every voice channel, every streamer Go Live, every Quest completed, there's data, petabytes ... platforms in the world. If you're the kind of Software Engineer who lights up when talking about ...

... data engineers, analysts, and scientists to understand their platform needs • Participate in on-call rotation to support critical platform issues when they arise • Document platform architecture ...

Azure AI Platform Engineer Location: Fremont, CA (Remote with Travel) Job Type: Contract - 12 ... We are leaders in data engineering on Azure, AWS, Google, Snowflake, and Databricks. Founded in ...

New

Discord plays a uniquely important role in the future of gaming, and we are focused on making it ... Behind every voice channel, every streamer Go Live, every Quest completed, there's data, petabytes ...

Staff AI Data Platform Engineer San Ramon, CA or Reno, NV About Ridgeline Ridgeline is the first ... Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is ...

Staff AI Data Platform Engineer San Ramon, CA or Reno, NV About Ridgeline Ridgeline is the first ... Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is ...

Showing results 21-40

Live In Data Platform Engineer information

See Sunnyvale, CA salary details

$52.2K

$152.2K

$208.3K

How much do live in data platform engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for live in data platform engineer in Sunnyvale, CA is $152,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,400.00 and $161,400.00 per year, depending on experience, location, and employer.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Sunnyvale, CA?

The most popular types of Data Platform Engineer jobs in Sunnyvale, CA are:

What are popular job titles related to Live In Data Platform Engineer jobs in Sunnyvale, CA?

For Live In Data Platform Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Live In Data Platform Engineer jobs in Sunnyvale, CA look for?

The top searched job categories for Live In Data Platform Engineer jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Live In Data Platform Engineer jobs?

Cities near Sunnyvale, CA with the most Live In Data Platform Engineer job openings:

Infographic showing various Live In Data Platform Engineer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $152,242 per year, or $73.2 per hour.

Software Engineer - Data Solutions, AI & Data Platform (AiDP)

Socket.dev

Sunnyvale, CA • On-site

$140 - $210/hr

Other

Posted 4 days ago


Job description

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. We are looking for a Software Engineer to help build next- generation of Applied Machine Learning Data Platforms. Applied Machine Learning Data Platform team provides platform engineering, data engineering tools, data pipelines, and services for various Machine Learning and Analyst teams. These help to train and deploy inference models, and run data analytics at scale to prevent Fraud and automate decisioning on multiple Apple Platforms like Apple Pay, Apple Media Products, App Store, Online Store, Retail, AppleCare and Manufacturing. Our team within the greater AiDP team is the Core Platform Engineering team which is a backbone of the platform, responsible for handling data at multi-petabyte scale with low latencies and high concurrency.

Description

We're looking for a Software Engineer with a strong data background and deep platform-thinking to design, build, and enhance a scalable, efficient data platform. You'll bring hands-on experience in data warehousing and analytics, and thrive on solving hard, large-scale data problems. If you're passionate about building production-grade platforms and want to make a lasting impact at scale, we'd love to talk to you.

Minimum Qualifications
  • Bachelor's degree or equivalent in Computer Science, Information Systems, or a related field.
  • 4+ years of subsequent data engineering experience across the required skills.
  • 4+ years experience working in the data warehousing, big data and analytics domains
  • Deep understanding and experience of working with high volume, high concurrency platforms Writing Spark, Trino, Flink code, Python and SQL for large scale relational data warehouses and data lake platforms on the cloud.
  • Designing data pipelines for structured and semi-structured data.
Preferred Qualifications
  • Building highly scalable data engineering platform components and foundational tools in Python, Java, or Scala.
  • Deep experience working with AI models and tools such as Claude, building agents etc
  • Experience with large scale platform migration projects
  • Working with distributed frameworks including Apache Kafka and Apache Spark and Flink and knowledge of Cloud platforms and technologies
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