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

1872 Consulting

Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

Data Platform Engineer Philo is a reinvented television streaming service building the future of ... Cambridge, MA, NYC, and San Fran (all remote right now but must be willing to come in for Hybrid ...

Otter.ai

Senior Data Engineer

Mountain View, CA · On-site +1

$185K - $230K/yr

The Opportunity We are looking for a Senior Data Engineer to join our Data Platform team and build the core data foundations that power analytics, experimentation, and decision-making across the ...

Metriport

Staff Data Engineer

San Francisco, CA · Remote

$200K - $260K/yr

The role We're looking for a data engineering leader who can own our data platform end-to-end ... min remote stand-up at 7:30am PST (our only mandatory meeting), and taking part in the on-call ...

Ōura

Senior Data Engineer - Finance

San Francisco, CA · On-site +1

$124K - $169K/yr

We are looking for a Data Engineer - Finance to join our Data Engineering & Analytics team. Your ... We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

3B Staffing LLC

Data Operations Engineer

Sunnyvale, CA · Remote

$136K - $163K/yr

Data Operations Engineer Remote 12+ contract to hire. Unable to sponsor now or later. The Data Operations team enables seamless data usage across the company by building scalable, high-quality data ...

3B Staffing LLC

Data Operations Engineer

Sunnyvale, CA · Remote

$136K - $163K/yr

Data Operations Engineer Remote 12+ contract to hire. Unable to sponsor now or later. The Data Operations team enables seamless data usage across the company by building scalable, high-quality data ...

Regard

Senior Data Engineer

San Francisco, CA · Remote

$165K - $220K/yr

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical ...

Metriport

Senior Data Engineer

San Francisco, CA · Remote

$180K - $220K/yr

The role We're looking for a data engineer who can operate at a Senior level: * You've built and ... Participating in bi-weekly sprint planning and retros, joining our daily 30-min remote stand-up at ...

Vercel

Senior Data Engineer - Finance

San Francisco, CA · On-site +1

$170K - $260K/yr

About the Role: We're looking for a Senior Data Engineer to join our Data team and own the reliability of the data our Finance stakeholders depend on. Vercel's revenue model combines subscription ...

Vercel

Senior Data Engineer - GTM

San Francisco, CA · On-site +1

$170K - $260K/yr

About the Role: We're looking for a Senior Data Engineer to join our Data team and own the reliability of the data our GTM stakeholders depend on. This is a full-stack role: you'll build and maintain ...

Roblox

Senior Data Engineer, Economy

San Mateo, CA · On-site +1

$120K - $164K/yr

As a Senior Software Engineer (Data Systems), you will architect, build and deploy high-scale, reliable real-time and batch data systems for personalization, search and recommendation across various ...

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Remote Data Engineer information

See Fremont, CA salary details

$48.7K

$142K

$194.3K

How much do remote data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineer in Fremont, CA is $141,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,500.00 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 Fremont, CA?

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Fremont, 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 $141,996 per year, or $68.3 per hour.

Data Platform Engineer

1872 Consulting

San Francisco, CA • On-site, Remote

$134K - $162K/yr

Full-time

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Data Platform Engineer

Philo is a reinvented television streaming service building the future of television. They are headquartered in San Francisco, but have offices in NYC and Cambridge, MA as well. Philo's CEO, Andrew McCollum, is actually a co-founder of Facebook with Mark Zuckerberg - basically, Philo is working to reinvent the television experience for the modern age, and create an amazing experience for their users to watch the shows they love.

Today, Philo offers a package of top-rated television channels for just $25 a month. You can watch live, save unlimited shows to watch later, or browse their huge library of content available on-demand. Their services can be streamed across all devices and the web.

Great work environment and culture, great benefits, and LOTS of backing from huge organizations like Discovery, Viacom, AMC, A&E, and HBO.

Cambridge, MA, NYC, and San Fran (all remote right now but must be willing to come in for Hybrid work eventually)

5-8 years of experience up to 175K, 8-10 years of experience up to 200K + 20-30K in Equity

Equity

n/a

Full health, dental and vision coverage for you and your family

Flexible working hours

Generous paid parental leave

Unlimited paid time off for vacation and sick leave

$2000 annual vacation bonus (we pay you to take a two week vacation)

$5000 annually for professional development and educational assistance

$500 "TV stipend" for new employees to upgrade their home watching setup

Dog-friendly office

You will be collaborating with a growing team of Data Scientists and Analysts. As the Data Platform Engineer you will be responsible for architecting their next generation data processing applications and reporting systems.

In this role, you will have the opportunity to build wholly new systems and services. They have some of the foundational elements in place for a modern data stack (Redshift, dbt, Segment, Kubernetes, Docker, Airbyte, Mode) and an active data science practice. They are looking for someone who can determine the next phase of the roadmap for the data platform and to build it -- for example: when to use a different orchestration tool, and when to be less dependent on (3rd party) libraries for client app event tracking.

They are looking to invest in ensuring that the core infrastructure (on which all of their research depends) is scalable, tested, robust, and able to evolve to meet their constantly changing data science needs.

They are looking for an engineer who enjoys being product-minded in the sense that they own a product from beginning to end by designing, constructing, integrating, testing, documenting, and supporting their creations.

Requirements:

  • 5+ years of experience as a Data Engineer
  • Highly proficient in at least one of these languages: Python, Ruby, and/or GoLang
  • Experience working with Data Pipelines in a Cloud native environment (preferably AWS)
  • Experience writing, testing, shipping, and maintaining clean production code within a collaborative and version-controlled (git) codebase
  • Experience improving data processing CI/CD practices

Interview Process:

  • First Round: 1 hour with Max (Talent Acquisition Manager) 30 mins with Scott (Head of Data)
  • Second Round: Take home exercise they will send to Max directly via private Slack
  • Third Round: 4 1-hour meetings in one day
  • Final: Follow up with Scott and CTO for 1-hour
1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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