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

Data Engineer

San Francisco, CA · On-site +1

$133K - $159K/yr

... Platform (GCP), scaling ingestion of complex data sources, and following best practices for ... This position is open to the following preferred office locations OR Remote * San Francisco, CA USA

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

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 ... Experience with cloud data platforms such as Azure, AWS, or GCP. * Knowledge of Flink or other ...

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... This is a remote position. Duties * Support production systems and help triage issues during live ...

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Collaborate with ML engineers, other data engineers, and software developers to deliver actionable ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

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 ...

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Showing results 1-20

Remote Gcp Data Engineer information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

How much do remote gcp data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote gcp 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 are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

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

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

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

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

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

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

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

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

Infographic showing various Remote Gcp Data Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% 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 AI & Supply Chain : 26-02169

Akraya Inc.

San Francisco, CA • On-site, Remote

$38 - $41/hr

Temporary

Posted 17 days ago


Job description


Primary Skills: Google Cloud Platform (GCP) Data Engineering (Expert), BigQuery, Dataproc & dbt (Advanced), ETL/ELT Pipeline Development (Expert), SQL & Data Modeling (Advanced), Supply Chain Data Engineering (Advanced)
Contract Type: W2 Only
Duration: 6+ Months
Location: San Francisco, CA Remote (PST Time Zone)
Pay Range: $38 - $41 on W2
Job Summary:
We are seeking a skilled Data Engineer - Data & AI, Supply Chain to join the Supply Chain Data & AI organization. This role focuses on designing, developing, and maintaining scalable cloud-native data pipelines and data products on Google Cloud Platform (GCP) that power enterprise analytics and AI initiatives across Sourcing, Transportation, and Warehouse Management (WMS). The ideal candidate has strong hands-on experience with BigQuery, Dataproc, SQL, and dbt, along with expertise in building modern ETL/ELT solutions and scalable data platforms.
Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP).
  • Build and optimize cloud-native data solutions using BigQuery, Dataproc, SQL, and dbt.
  • Design and maintain high-quality data models supporting enterprise reporting, analytics, and AI use cases.
  • Ingest, transform, validate, and publish data from multiple enterprise source systems.
  • Collaborate with Product Managers, Business Analysts, Data Architects, Solution Architects, and engineering teams to translate business requirements into scalable technical solutions.
  • Develop reusable data transformation frameworks while adhering to engineering standards and best practices.
  • Optimize data processing performance, scalability, reliability, and cloud cost efficiency.
  • Perform unit testing, data validation, production support, and troubleshooting to ensure high-quality data delivery.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, code reviews, and technical discussions.
  • Create and maintain technical documentation, data flow diagrams, and implementation artifacts.
Must-have Skills:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
  • 4+ years of Data Engineering experience developing enterprise data solutions.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Expertise with BigQuery, Dataproc, SQL, and dbt (Data Build Tool).
  • Strong understanding of ETL/ELT architecture and large-scale data processing.
  • Experience with dimensional data modeling and analytical data warehouse concepts.
  • Experience building scalable cloud-native data pipelines.
  • Knowledge of Git, version control, and CI/CD best practices.
  • Strong analytical, troubleshooting, problem-solving, and communication skills.
  • Experience working in Agile development environments.
Nice-to-have Skills:
  • Experience with Apache Airflow for workflow orchestration.
  • Experience integrating with Apache Kafka or other event-streaming platforms.
  • Working knowledge of PySpark for distributed data processing.
  • Proficiency in Python for data engineering, automation, and scripting.
  • Knowledge of data governance, metadata management, and data quality frameworks.
  • Experience supporting analytics, AI, or machine learning data platforms.
Preferred Qualifications:
  • Experience working within Retail, Apparel, Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center Operations.
  • Experience delivering enterprise cloud data solutions using modern GCP technologies.
  • Strong understanding of scalable data architecture and cloud-native engineering best practices.
  • Self-motivated team player with excellent collaboration skills and a passion for building reliable, high-performance data solutions.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001