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

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Planet

Data Visualization Engineer

San Francisco, CA · On-site +1

We are looking for a spatial thinker with a passion for remote sensing analysis and visual ... Experience programming with Python to analyze geospatial data and interact with APIs * Experience ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

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 ...

Vercel

Software Engineer, Data Platform

San Francisco, CA · On-site +1

$130K - $200K/yr

About the Role We're looking for a Data Platform Engineer to join our Data Engineering team and help build the infrastructure that powers data across Vercel. This isn't a reporting or pipelines-for-a ...

Planet

Senior Data Visualization Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We're looking for a spatial thinker with a passion for remote sensing analysis and visual ... Ability programming with Python to analyze geospatial data and interact with APIs * Extensive ...

Parafin

Data Analytics Engineer

San Francisco, CA · Remote

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Atlassian

Head of Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

Atlassian is looking for an Engineering Leader to join the Data Engineering team and build data products that power GTM(Marketing and Sales )strategy and important decisions across the organization

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$150K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

This requires strong data engineering fundamentals and a working knowledge of chemical industry ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

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Showing results 41-60

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 Sep 5, 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 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 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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $158,830 per year, or $76.4 per hour.

AWS Cloud Engineer (Remote)

Astrix Inc

San Francisco, CA • On-site, Remote

$40 - $45/hr

Full-time, Contractor

Re-posted 9 hours ago

Job description

Pay Rate Low: 40 | Pay Rate High: 70
Our client is a global biotechnology company seeking an experienced AWS Cloud Engineer with strong Python development skills to support the design and modernization of cloud-based data engineering and bioinformatics platforms.
Position: AWS Cloud Engineer - Python (Contract)
Location: Remote (U.S.)
Duration: 12-Month Contract (High Potential for Extension)
Schedule: Full-Time (40 hours/week) | Must be available during Pacific Time business hours
Pay rate: $40-45/hr+ (Benefits included)
Position Overview
This role focuses on building scalable, serverless AWS solutions, integrating AI-powered services, and developing high-performance cloud infrastructure in a collaborative research environment.
Key Responsibilities
  • Design, develop, and maintain scalable cloud applications using Python and AWS.
  • Build and enhance serverless architectures and event-driven applications.
  • Integrate AI/GenAI solutions into internal tools to improve data accessibility and workflow automation.
  • Develop cloud infrastructure using Infrastructure as Code (Terraform).
  • Collaborate with cross-functional engineering teams to rapidly prototype and deliver innovative solutions.
  • Support high-performance data processing pipelines and cloud-based applications.
  • Follow software engineering best practices, including testing, version control, CI/CD, and documentation.

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Bioinformatics, or a related technical field.
  • 5+ years of software engineering experience with Python.
  • MUST be authorized to work in the United States without sponsorship.
  • AWS Developer Certification (or equivalent AWS certification).
  • Strong experience developing applications in AWS cloud environments.
  • Hands-on experience with:
    • AWS Lambda, Step Functions, SQS, SNS
    • EKS, ECS, S3, ALB
    • Terraform (Infrastructure as Code)
    • Event-driven and serverless architectures
  • Experience with Git, CI/CD pipelines (GitLab CI preferred), and cloud deployment best practices.
  • Knowledge of data structures, API/schema design, and distributed systems.
Preferred:
  • Experience working within scientific, research, life sciences, or bioinformatics environments.
  • Familiarity with AI/ML concepts and GenAI technologies.
  • Experience with React, HTML/CSS, JavaScript, or Java.
  • Experience developing applications for high-performance computing (HPC).

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