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Remote Gcp Data Engineer Jobs in Boston, MA (NOW HIRING)

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Site Reliability Engineering (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine ... Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark ...

Senior Machine Learning Engineer

Boston, MA ยท Remote

$125K - $165K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine ... Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine ... Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark ...

Senior Cybersecurity Engineer

Boston, MA ยท Remote

$124K - $170K/yr

Perform engineering of data protection products. For example, Privacera. * Understand and perform ... Experience performing security operations functions in cloud environments (Azure, GCP)

Senior Cybersecurity Engineer

Boston, MA ยท Remote

$124K - $170K/yr

Perform engineering of data protection products. For example, Privacera. * Understand and perform ... Experience performing security operations functions in cloud environments (Azure, GCP)

Senior Cybersecurity Engineer

Boston, MA ยท Remote

$124K - $170K/yr

Perform engineering of data protection products. For example, Privacera. * Understand and perform ... Experience performing security operations functions in cloud environments (Azure, GCP)

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Support Azure/GCP/AWS cloud security controls, policy development, deployment pipelines, and ...

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Support Azure/GCP/AWS cloud security controls, policy development, deployment pipelines, and ...

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Support Azure/GCP/AWS cloud security controls, policy development, deployment pipelines, and ...

Collaborate with data analysts, data scientists, data engineers and other stakeholders to ... Our hybrid work model combines the convenience of remote work with access to our great office ...

Showing results 41-60

Remote Gcp Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Sep 2, 2026, the average yearly pay for remote gcp data engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

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.

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 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.

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 are the most commonly searched types of Gcp Data Engineer jobs in Boston, MA?

The most popular types of Gcp Data Engineer jobs in Boston, MA are:

What are popular job titles related to Remote Gcp Data Engineer jobs in Boston, MA?

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

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

The top searched job categories for Remote Gcp Data Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Gcp Data Engineer jobs?

Cities near Boston, MA with the most Remote Gcp Data Engineer job openings:

Infographic showing various Remote Gcp Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 100% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Infrastructure Expert - Remote

YO AI Labs

Boston, MA โ€ข Remote

$30 - $80/hr

Full-time

Posted 7 days ago


Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.