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

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

Discord

Staff Data Engineer, Analytics

San Francisco, CA · On-site +1

$248K - $310K/yr

Discord is looking for a seasoned technical leader to join our Data team as a Staff Data Engineer, Analytics. You will drive technical vision and strategy for our analytical data infrastructure ...

Discord

Senior Data Engineer, Analytics

San Francisco, CA · Remote

$196K - $245K/yr

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

Arena Club

Senior Data Engineer

San Francisco, CA · Remote

$124K - $169K/yr

About The Role We are seeking a Senior Data Engineer to help strengthen Arena Club's strategic decision-making, enhance operational performance, and integrate data across the company to unlock deeper ...

Arena Club

Senior Data Engineer

San Francisco, CA · Remote

$124K - $169K/yr

About The Role We are seeking a Senior Data Engineer to help strengthen Arena Club's strategic decision-making, enhance operational performance, and integrate data across the company to unlock deeper ...

GC AI

Founding Data Engineer, AI Platform

San Mateo, CA · On-site +1

$165K - $350K/yr

You'll work closely with Product and Engineering to make sure the data infrastructure serves both ... Location Policy This is a remote role unless you fall within the following parameters. If you live ...

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Showing results 1-20

All 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 Jun 28, 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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
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 June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 3% Contract, and 1% Nights. 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.

Cloud Data Engineer - AI & Analytics Transformation - AIRLHV

NavitasPartners

San Francisco, CA • On-site, Remote

$40/hr

Other

Posted 3 days ago

Job description

Cloud Data Engineer - AI & Analytics Transformation 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

Join a high-impact team delivering enterprise data and AI transformation initiatives. This role emphasizes building next-generation data ecosystems and enabling intelligent decision-making through advanced analytics. 

Key Responsibilities: 

  • Design and implement modern data architectures using cloud platforms  
  • Build and optimize ETL/ELT pipelines for large-scale datasets  
  • Work closely with cross-functional teams to deliver business insights  

Required Skills: 

  • Expertise in data engineering tools such as Snowflake, Databricks, or BigQuery  
  • Strong cloud experience (AWS, Azure, GCP)  
  • Experience in distributed data processing and pipeline orchestration  

Nice to Have: 

  • Exposure to ML engineering and MLOps practices  
  • Experience with GenAI or Agentic AI solutions  
  • Understanding of enterprise AI governance frameworks  

For more details reach at resumes@navitassols.com.

Apply