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Remote Gcp Data Engineer Jobs (NOW HIRING)

Noblesoft Technologies

GCP Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

GCP Data Engineer Location: Minneapolis, MN(Remote) • Design and deploy cloud-based infrastructure on Google Cloud Platform (GCP) using various services (e.g., Compute Engine, Kubernetes Engine ...

IT America Inc

GCP Data Architect

Richmond, VA · Remote

$65.25 - $84/hr

GCP Data Architect Location: Remote Duration: Long term contract Note: Looking for Permanent / Independent Visa holders Designing Data Solutions: * Architecting data pipelines that handle the ...

Wells Fargo

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Wells Fargo

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Wells Fargo

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Cognizant

GCP Data Architect (Remote)

$65.25 - $84/hr

They are seeking a GCP Data Architect to design scalable hybrid architectures and drive cloud ... Required : • Exhibit strong hands on experience with DevOps practices and tooling enabling ...

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Remote Gcp Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jun 5, 2026, the average yearly pay for remote gcp data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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 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 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.

More about Remote Gcp Data Engineer jobs
What cities are hiring for Remote Gcp Data Engineer jobs? Cities with the most Remote Gcp Data Engineer job openings:
What are the most commonly searched types of Gcp Data Engineer jobs? The most popular types of Gcp Data Engineer jobs are:
What states have the most Remote Gcp Data Engineer jobs? States with the most job openings for Remote Gcp Data Engineer jobs include:
What job categories do people searching Remote Gcp Data Engineer jobs look for? The top searched job categories for Remote Gcp Data Engineer jobs are:
Remote Gcp Data Engineer jobs near you
Infographic showing various Remote Gcp Data Engineer job openings in the United States as of May 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

GCP Data Engineer

Meta Force Technology Staffing LLC

Raleigh, NC • Remote

$117K - $140K/yr

Contractor

Posted 15 hours ago

Job description

Remote Job Role 
Junior (GCP Data Engineer – Teradata to GCP Migration):
 
Job Description – Remote 
Must Have - Migration from Teradata to GCP
 
2-4 Years of Experience in 
Seeking a skilled GCP Data Engineer to support the migration of enterprise data and ETL workflows from Teradata to Google Cloud Platform (BigQuery, Dataflow, Cloud Storage). 
Responsibilities include data pipeline development, schema translation, performance optimization, and collaborating with cross-functional teams to ensure a smooth and secure migration. Experience with SQL, Python, and GCP-native tools is essential.