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Remote Gcp Data Engineer Jobs in Oregon (NOW HIRING)

The Ideal Candidate You are a Data Engineer who approaches data engineering as a software ... Remote What We Offer Benefits * Excellent, full coverage medical, dental, and vision insurance ...

$130K/yr

The Ideal Candidate You are a Data Engineer who approaches data engineering as a software ... Remote What We Offer Benefits * Excellent, full coverage medical, dental, and vision insurance ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

eLearning Content Developer

OR · Remote

$80K - $90K/yr

Foundational understanding of data structures, cloud platforms (AWS, Azure, GCP), data catalogs (e ... Work from home with a global remote-first community Global Culture Corner Flexible PTO and ...

This is a remote opportunity and we would be interested in applicants from USA time zones only at ... data, and real-time business context * Build serverless or containerized services (GCP Cloud ...

Senior Software Engineer (Athena)

OR · Remote

$122K - $161K/yr

Senior Software Engineer Remote - US, Canada, UK Chainguard is building the secure software supply ... GCP and Terraform experience * You can navigate unstructured data problems (parsing, validating ...

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define ... This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one ...

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... data, and real-time business context * Build serverless or containerized services (GCP Cloud ...

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... data, and real-time business context * Build serverless or containerized services (GCP Cloud ...

Senior Manager, Data Security

Portland, OR · On-site +1

$121K - $166K/yr

This leader will own the data security engineering pillar, with accountability for data ... This role is remote-friendly within North America. For those who prefer in-office or hybrid work ...

Distributed Systems Engineer (L4) - Data Platform

OR · On-site +1

$114K - $137K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S ... Data Developer Experience The Data Developer Experience (DDX) team at Netflix is dedicated to ...

Staff Software Engineer Remote - US, Canada, UK Chainguard secures the open source supply chain ... GCP and Terraform experience * Experience building systems that process and validate data from ...

You'll own the Workato automation stack, develop resilient data pipelines between core platforms ... Experience with Cloud Platforms such as GCP or AWS preferred. * Hands-on experience using APIs and ...

A Field Engineer will partner with a Technical Account Manager to create a guided customer journey ... data services including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Strong understanding of GCP, ICH, and clinical research processes. * Excellent communication and ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Strong understanding of GCP, ICH, and clinical research processes. * Excellent communication and ...

Senior Data Architect

$67.25 - $90/hr

... engineering, or enterprise data systems. * Proven experience with data modeling, enterprise data warehousing, and cloud-based data infrastructure (e.g., Azure, AWS, GCP). * Deep knowledge of data ...

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Remote Gcp Data Engineer information

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 the most commonly searched types of Gcp Data Engineer jobs in Oregon? The most popular types of Gcp Data Engineer jobs in Oregon are:
What are popular job titles related to Remote Gcp Data Engineer jobs in Oregon? For Remote Gcp Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Gcp Data Engineer jobs in Oregon look for? The top searched job categories for Remote Gcp Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Gcp Data Engineer jobs? Cities in Oregon with the most Remote Gcp Data Engineer job openings:

Associate Director, Data Engineering (Remote)

Monks

On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
About the Role
.Monks is a digital-first marketing and advertising services company connecting the dots across content, data & digital media and technology services. Inspired by the connectivity and flexibility of technology APIs, .Monks' single-P&L model offers brands seamless access to a nearly 6,000-strong team of digital talent organized across 57 talent hubs in 33 countries.
With us, you'll find a diverse group of colleagues with different backgrounds and perspectives. We believe everyone has something of value to offer, and that sustaining a truly diverse, equitable and inclusive workplace begins with fostering an environment where people can be themselves, authentically, every day. We want to build something with the potential to change the heart of our industry, and we'd love to include your unique perspective.
Media Analytics
As .Monks continues to expand our Global Enterprise Analytics capabilities, we are looking for a forward-deployed data engineer to serve as a high-exposure individual contributor embedded directly within our client's business. In this role, your primary responsibility will be building, maintaining, and scaling production-level data pipelines and infrastructure within the client's ecosystem. You will architect robust data engineering solutions and write production-level code to ensure data integrity and scalability. While this is an engineering-first role, you will also work with the Data Science team to assist in their application of statistical modeling and machine learning to help turn raw data into actionable business decisions. This position requires a unique combination of deep technical engineering expertise and the business acumen to drive services development from within the client's business.
Responsibilities:
  • Design, build, and maintain scalable, reliable, and automated data pipelines using SQL, Python, and Databricks to support enterprise analytics.
  • Architect and optimize robust data models and infrastructure to ensure high data quality, integrity, and accessibility across the client's ecosystem.
  • Partner closely with the Data Science team to operationalize their work, deploying statistical and machine learning models into production environments using DataOps best practices.
  • Identify, design, and implement internal process improvements, including automating manual data processes and optimizing data delivery for scalability.
  • Collaborate with cross-functional teams to identify business problems, gather requirements, identify data sources, and provide data-driven solutions.
The Ideal Candidate
You are a Data Engineer who approaches data engineering as a software engineering discipline. You have experience building reliable, scalable, and maintainable data platforms using modern cloud-native technologies and engineering best practices. You are a proactive problem-solver who thrives in ambiguity. You take ownership of the full development lifecycle, are driven to understand the broader environment you work in, and actively identify and solve technical challenges (such as data inconsistencies or pipeline optimizations) without being prompted. You are a strong communicator and effectively kick-start your projects, seeking in-process guidance rather than waiting for project deadlines.
Requirements:
We are looking for someone who is experienced and familiar with the following tools:
  • Strong experience designing and building scalable data pipelines using modern cloud data platforms.
  • Solid understanding of modern data architecture, including ELT, data lakes/lakehouses, data warehouses, and metadata-driven frameworks.
  • Experience applying software engineering best practices to data development, including:
    • Version control (Git)
    • Code reviews and pull request workflows
    • Modular, reusable, and testable code
    • CI/CD pipelines
    • Automated testing (unit, integration, and data quality tests)
    • Infrastructure as Code
  • Proficiency in Python and SQL, with a focus on clean, maintainable, and well-tested code.
  • Experience with orchestration frameworks and workflow automation.
  • Familiarity with data modeling, data governance, lineage, observability, and monitoring.
  • Experience working in Agile teams and collaborating across engineering, analytics, and business stakeholders.
  • Ability to design metadata-driven and configuration-driven solutions instead of hard-coded implementations.
The essentials:
  • A Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field (or equivalent practical experience)
  • 5+ years of experience in data engineering, data warehousing, or building data infrastructure for marketing and business applications
  • Hands-on experience working with common ETL tools
  • Expertise across programmatic display, video, native, and ad serving technology, as well as digital advertising reporting, measurement, and attribution tools
  • Adept to agile methodologies and well-versed in applying DataOps methods to the construction of pipelines and delivery
  • Demonstrated ability to effectively operate both independently and in a team environment
  • Experience in the client/consulting workplace and capable of reprioritization based on evolving client needs
  • Added Bonus: You have expertise in designing and deploying AI workflows directly into a client's business environment

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
#LI-OG1 #LI-Remote
What We Offer
Benefits
  • Excellent, full coverage medical, dental, and vision insurance - more about our coverage here!
  • Generous PTO and 15 company-wide holidays
  • 401k with company contribution
  • Paid parental leave
  • Work-life balance with an emphasis on personal well-being
  • Career growth in a disruptor space & entrepreneurial opportunities within the Monks network
  • A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more!
  • Authentic commitment to DEI efforts and sustainable growth. (Why Sir Martin Sorrell signed The Climate Pledge here!)

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company's then-current RTO policy, which is subject to change from time to time.
Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate's sex or any other protected status.
Salary Range:
$130,000-$140,000 USD
About Monks
Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.
Monks was named a Contender in The Forrester Waveâ„¢: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger's Programmatic Power Players list every year (2020-24). Named Adweek's first AI Agency of the Year (2023) and The One Show's inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group's 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato's AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.
We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents-and resonates with-the world around us.