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Remote Data Engineer Jobs in Milpitas, CA (NOW HIRING)

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong Python programing Department Overview The Data ...

YO AI Labs

AI Data Scientist Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Data Piper

Databricks Architect

Pleasanton, CA · Remote

$72 - $94.50/hr

Remote 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting experience Completed Data Engineering Professional certification & required classes Hands-on experience in ...

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Tempus

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

Educate engineering and clinical teams on data modeling standards, governance, and best practices ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Data Piper

Databricks Architect

Pleasanton, CA · On-site +1

$72 - $94.50/hr

Remote • 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting experience • Completed Data Engineering Professional certification & required classes • Hands-on ...

Walmart

Staff, Data Scientist (Pricing)

Sunnyvale, CA · On-site +1

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... You will work closely with data scientists, machine learning engineers, operations research ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Milpitas, CA

Remote Data Engineer information

See Milpitas, CA salary details

$51.9K

$151.2K

$206.9K

How much do remote data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data engineer in Milpitas, CA is $151,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $160,200.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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

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

What are popular job titles related to Remote Data Engineer jobs in Milpitas, CA?

For Remote Data Engineer jobs in Milpitas, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Milpitas, CA look for?

The top searched job categories for Remote Data Engineer jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Remote Data Engineer jobs?

Cities near Milpitas, CA with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Milpitas, CA as of August 2026, with employment types broken down into 84% Full Time, 7% Part Time, and 9% Contract. Highlights an 4% In-person, and 96% Remote job distribution, with an average salary of $151,168 per year, or $72.7 per hour.

AI Product Manager - Data Products - 1808

PlacingIT

Sunnyvale, CA • On-site, Remote

$150K - $250K/yr

Full-time

Re-posted 22 days ago

Job description

AI Product Manager – Data Products - 1808
Location: Remote (United States)
Employment Type: Direct Hire - Full-Time Employment
Salary Range: $150,000–$250,000 Base Salary
Residency Requirements: U.S. Citizens and all other candidates authorized to work in the United States are encouraged to apply. Sponsorship is not available for this position. About the Role

We're looking for a highly technical AI Product Manager to help build next-generation AI-powered data products. You'll partner closely with engineering to define product direction, prioritize work, and translate customer and user feedback into technical requirements.

This role is ideal for someone who has worked in an early-stage startup, understands modern data infrastructure, and actively leverages AI tools in their daily workflow.

What You'll Do
  • Own product initiatives from concept through launch, focusing on technical users and data products.
  • Collaborate closely with engineering to prioritize product development and deliver customer value.
  • Gather user feedback and translate business needs into clear technical requirements.
  • Build and launch new AI-native products from 0 to 1.
  • Drive roadmap planning and prioritize features based on customer impact and technical feasibility.
  • Work with modern AI technologies to accelerate product development and improve internal workflows.
  • Partner with customers to understand evolving technical challenges and identify product opportunities.
  • Help shape the company's AI-first product strategy while contributing hands-on throughout the product lifecycle.
Required Qualifications
  • 3+ years of Product Management experience.
  • Experience building and launching products from 0 to 1 for technical users.
  • Product Management experience at an early-stage startup (Seed through Series B preferred).
  • Previous experience as a Data Engineer.
  • Strong understanding of the modern data ecosystem.
  • Experience building native Generative AI products, not simply adding AI features to existing software.
  • Strong technical communication skills with the ability to work directly alongside engineering.
  • Hands-on experience using AI tools as part of your daily workflow.
Technical Qualifications

Candidates should have experience with many of the following:

Modern Data Stack
  • ELT/ETL pipelines
  • Data Warehousing
  • dbt
  • Snowflake
  • Apache Spark
  • Data orchestration platforms
  • SQL
AI Technologies
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • AI evaluation frameworks
  • Prompt engineering
  • AI-assisted product development
AI Development Tools
  • Claude Code
  • Cursor
  • Codex
  • Similar AI coding and development tools
Education
  • Bachelor's degree in Computer Science, Mathematics, Engineering, or another technical discipline preferred.
What We're Looking For

The ideal candidate is highly technical, curious, and excited about building AI-native products in a fast-moving startup environment.

Successful candidates will demonstrate:

  • Strong technical depth in data engineering and AI.
  • Startup mentality with a hands-on approach.
  • Curiosity and passion for rapidly evolving AI technologies.
  • Ability to work independently with minimal direction.
  • Excellent communication between customers and engineering teams.
  • Low ego, collaborative mindset, and respect for teammates.
  • A genuine enthusiasm for experimentation and innovation.
Candidates Unlikely to Be a Fit

The following backgrounds generally do not align with this opportunity:

  • Career Product Managers from large, slow-moving technology companies (FAANG or similar).
  • Candidates who require highly structured or hierarchical work environments.
  • Professionals whose experience is primarily in data science or analytics rather than product development.
  • Candidates without hands-on experience building AI-native products.
  • Product Managers without a strong technical foundation in modern data platforms.