ZipRecruiter

Log In

2

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

Discord

Data Engineer

San Francisco, CA · Remote

$180K - $200K/yr

Discord is looking for an experienced and passionate Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and ... This is a fully remote position, with responsibilities that require strong communication skills and ...

World Market

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and ... This is a fully remote position, with responsibilities that require strong communication skills and ...

Regard

Data Engineer

San Francisco, CA · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We ...

Horizontal Talent

Sr. Data Engineer

San Francisco, CA · On-site +1

$60 - $96/hr

Join a dynamic data engineering team supporting large-scale analytics and cloud data solutions for a hybrid onsite role in San Francisco, CA. This position focuses on building reliable, high ...

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 ...

Figma

Data Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You'll also work closely with stakeholders across ...

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 ...

Meta

Data Engineer, Product Analytics

Burlingame, CA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Meta

Data Engineer, Product Analytics

San Francisco, CA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Thumbtack

Senior Data Engineer

San Francisco, CA · On-site +1

$210K - $272K/yr

About the Data Engineering Team Thumbtack's Data Engineering org is split into 3 groups: Core Data Engineering, Data Platform and Embedded Data Engineering. This role is on the Embedded Data ...

previous pagenext page

Showing results 21-40

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

Remote Data Engineer information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

How much do remote data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data engineer in Berkeley, CA is $158,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $168,400.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Berkeley, CA? The most popular types of Data Engineer jobs in Berkeley, CA are:
What are popular job titles related to Remote Data Engineer jobs in Berkeley, CA? For Remote Data Engineer jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Berkeley, CA look for? The top searched job categories for Remote Data Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Data Engineer jobs? Cities near Berkeley, CA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $158,830 per year, or $76.4 per hour.

Data Engineer

Discord

San Francisco, CA • Remote

$180K - $200K/yr

Full-time

Posted 8 days ago

Job description

Discord is looking for an experienced and passionate Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self-serve from. You'll define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. If this sounds exciting to you and you're passionate about data modeling, metric design, and empowering teams to move faster with reliable data, read on!

What you will be doing:

  • Design, build, and maintain curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses
  • Own metric definitions end to end, from partnering with data science and product team to define what we should measure, to implementing it in production, to surfacing it in visualization tools
  • Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions
  • Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets
  • Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for the datasets you own
  • Drive adoption of consistent data modeling patterns, naming conventions, and documentation norms across the data organization

What you should have

  • 3+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets
  • 3+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
  • 3+ years of experience writing accurate and effective code in SQL
  • Experience with designing data model to power a variety of use cases, including experimentation
  • Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices
  • Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar)
  • Strong business acumen, you will partner with data scientists and product managers to translate ambiguous business questions into concrete metric definitions and data models
  • Excellent communication, comfortable being the connective tissue between technical and business teams
  • Last but not least, desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

Bonus Points:

  • Passion for Discord or online communities
  • Experience building or contributing to a semantic layer or metrics store
  • Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar)
  • Experience working on monetization and/or subscription products


The US base salary range for this full-time position is $180,000 to $200,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Apply