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Remote Gcp Data Engineer Jobs in Everett, WA (NOW HIRING)

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark). * Build and manage API ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

Outpost

Machine Learning Data Engineer

Seattle, WA · Remote

$130K - $160K/yr

Qualifications: * 3+ years in a data quality, ML data engineering or applied ML role. * Experience ... Python · Roboflow · VLM/OCR pipelines · GCP (GCS) · PostgreSQL · Snowflake · Node.js ...

TEKsystems

Telemetry Data Engineer

Redmond, WA · On-site +1

$55 - $64/hr

Preference given to Redmond WA for both candidates, but open to remote. *IF candidates are in the ... This Telemetry Data Engineer will play a key role in building automated frameworks that validate ...

OTSI

AI & Data Solutions Architect

Seattle, WA · Remote

Seattle (Remote, some travel required) We are seeking a highly technical, client-facing AI & Data ... Provide technical leadership to global development and data engineering teams. Serve as the ...

YO AI Labs

DevOps Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub ...

YO AI Labs

DevOps Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub ...

Jobsultant Solutions

Senior Data Analyst (Remote)

Redmond, WA · Remote

$96K - $121K/yr

Collaborate closely with the engineering team and provide ongoing support to help implement end ... Knowledge of Big data environments and Cloud services (GCP) is a plus. * Prior knowledge of any ...

Truveta

Software Engineer - Data Processing

Seattle, WA · On-site +1

$110K - $145K/yr

Software Engineer - Data Processing Truveta is the world's first health provider led data platform ... GCP experience is relevant) Why Truveta? Be a part of building something special. Now is the ...

YO AI Labs

Infrastructure Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

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

YO AI Labs

Infrastructure Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

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

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All JobsGcp Data Engineer JobsRemote Gcp Data Engineer JobsRemote Gcp Data Engineer Jobs in Everett, WA

Remote Gcp Data Engineer information

See Everett, WA salary details

$49.2K

$143.3K

$196.1K

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

As of Aug 30, 2026, the average yearly pay for remote gcp data engineer in Everett, WA is $143,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,500.00 and $151,900.00 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 Everett, WA?

The most popular types of Gcp Data Engineer jobs in Everett, WA are:

What are popular job titles related to Remote Gcp Data Engineer jobs in Everett, WA?

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

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

The top searched job categories for Remote Gcp Data Engineer jobs in Everett, WA are:

What cities near Everett, WA are hiring for Remote Gcp Data Engineer jobs?

Cities near Everett, WA with the most Remote Gcp Data Engineer job openings:

Remote Gcp Data Engineer jobs near you

Data Engineer

Seattle, WA • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

$117K - $140K/yr

Contractor

Re-posted yesterday

Job description

Job Role: Senior Data Engineer
Location: Remote
 
JD:
 
 
Key Responsibilities
• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.
• Build and maintain a metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.
Required Qualifications
• 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies.
Strong expertise in:
o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
o Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
o Power BI and/or other visualization tools
o Azure Functions, Logic Apps, and orchestration frameworks
o SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata-driven architectures and reusable components.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.
Preferred Qualifications
• Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Experience in building multi-tenant data platforms or domain-specific lakes.