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Gcp Data Engineer Jobs in Remote, OR (NOW HIRING)

Sara Software Systems

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AI Engineer

OR · Remote

Experience with SQL/NoSQL databases and data pipelines (BigQuery, Dataflow) * GCP certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Developer) * Experience shipping ...

Sara Software Systems

Be Seen First

AI Engineer

OR · Remote

Experience with SQL/NoSQL databases and data pipelines (BigQuery, Dataflow) * GCP certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Developer) * Experience shipping ...

Anytime AI

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

Manage and optimize cloud-based infrastructure (e.g., AWS/GCP), utilizing tools like Docker and ... Optimize data routing across complex systems, ensuring highly efficient and stable operation of ...

Lumen Technologies

Senior Lead IT Engineer, Flexera One

OR · On-site +1

$132K - $176K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Familiarity with cloud platforms (Azure, AWS, or GCP) and hybrid environments. * Experience with ...

All JobsGcp Data Engineer JobsGcp Data Engineer Jobs in Remote, OR

Gcp Data Engineer information

See Remote, OR salary details

$44.5K

$129.6K

$177.3K

How much do gcp data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for gcp data engineer in Remote, OR is $129,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $137,400.00 per year, depending on experience, location, and employer.

What is a GCP Data Engineer job?

A GCP Data Engineer is responsible for designing, building, and managing data processing systems on Google Cloud Platform. They work with tools like BigQuery, Dataflow, and Dataproc to process, store, and analyze large datasets efficiently. Their role involves optimizing data pipelines, ensuring data quality, and implementing security best practices. They also collaborate with data analysts and scientists to support business intelligence and machine learning initiatives.

What are the key skills and qualifications needed to thrive in the Gcp Data Engineer position, and why are they important?

To thrive as a GCP Data Engineer, you need strong skills in data engineering, programming (such as Python or Java), and experience with Google Cloud Platform services like BigQuery, Dataflow, and Cloud Storage, often backed by a relevant degree or certification. Familiarity with tools such as Terraform, Apache Beam, and GCP-specific certifications like Professional Data Engineer are highly valued. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills for this role. These competencies are crucial for building scalable data solutions, ensuring data quality, and collaborating effectively within cross-functional teams.

Is GCP Data Engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Organizations seek professionals skilled in cloud services, data pipelines, and tools like BigQuery and Dataflow to manage large-scale data workloads, making this a promising role with strong job growth prospects.

What is the salary of GCP Data Engineer?

The average salary for a GCP Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as Google Cloud Professional Data Engineer. Senior roles or those in high-demand areas may offer higher compensation. Skills in data pipeline development, cloud architecture, and SQL are often valued in salary considerations.

What types of projects or day-to-day tasks does a GCP Data Engineer typically work on?

As a GCP Data Engineer, you will design and implement data pipelines, process large datasets using GCP tools, and ensure data is available and accessible for analytics and business intelligence purposes. Your daily tasks might include creating ETL workflows, optimizing data warehouse performance, collaborating with data scientists, and troubleshooting data ingestion issues. Many teams operate in an agile environment, so you can expect regular interaction with product managers, analysts, and other engineers. This hands-on, collaborative nature of the role means you'll have opportunities to work on impactful projects that directly influence business decisions and gain exposure to cutting-edge cloud technologies.

Can I make 200K as a Data Engineer?

GCP Data Engineers with extensive experience, advanced skills in cloud platforms, and certifications such as Google Cloud Professional Data Engineer can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors like location, industry, company size, and individual expertise in tools like BigQuery, Dataflow, and machine learning. Entry-level or mid-tier Data Engineers typically earn less, with higher salaries reserved for those with specialized skills and years of experience.

What engineer makes $500,000 a year?

Highly experienced data engineers, including GCP Data Engineers with advanced skills in cloud platforms, big data tools, and certifications, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Such compensation often includes bonuses, stock options, and other benefits.
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Infographic showing various Gcp Data Engineer job openings in Remote, OR as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 11% Part Time, and 9% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $129,588 per year, or $62.3 per hour.
AI Engineer

AI Engineer

Sara Software Systems

OR • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

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Job description

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role, you will design, build, and ship AI-powered features end to end, from integrating large language models and machine learning services into our products, to developing the front-end applications that put those capabilities in users' hands. You will work across the stack, with a strong emphasis on front-end development and cloud-native engineering on Google Cloud Platform (GCP). 

Responsibilities 

  • Design, develop, and deploy AI-powered applications and features, integrating LLMs and ML models into production software 
  • Build and maintain responsive, high-quality front-end applications using modern JavaScript frameworks (React, Angular, or Vue) 
  • Develop APIs and backend services that connect front-end applications with AI/ML models and data pipelines 
  • Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, embeddings, and vector search 
  • Architect, deploy, and manage applications and AI workloads on Google Cloud Platform (Vertex AI, Cloud Run, Cloud Functions, BigQuery, GKE) 
  • Fine-tune and integrate models from providers such as OpenAI, Anthropic, and Google, as well as open-source models (Hugging Face, LLaMA, etc.) 
  • Implement MLOps/LLMOps best practices: CI/CD pipelines, model monitoring, evaluation, and versioning 
  • Write clean, well-tested, maintainable code and participate in code reviews 
  • Collaborate with product managers, designers, and stakeholders to translate business requirements into technical solutions 
  • Stay current with the rapidly evolving AI/ML landscape and recommend new tools and approaches 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) 
  • 3+ years of professional software engineering experience 
  • Strong proficiency in Python and JavaScript/TypeScript 
  • Hands-on experience building front-end applications with React, Angular, or similar frameworks (HTML, CSS, modern UI patterns) 
  • Experience developing and deploying applications on Google Cloud Platform 
  • Practical experience integrating LLM APIs (OpenAI, Anthropic Claude, Google Gemini) into applications 
  • Experience with RESTful APIs, microservices, and modern software architecture 
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector, or similar) and RAG architectures 
  • Solid understanding of Git, CI/CD, containerization (Docker), and agile development practices 
  • Strong problem-solving skills and ability to work independently and within a team 

Preferred Qualifications 

  • Experience with Vertex AI, LangChain, LlamaIndex, or similar AI application frameworks 
  • Experience with agentic AI workflows, function/tool calling, and multi-agent systems 
  • Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow) 
  • Experience with Kubernetes (GKE) and infrastructure-as-code (Terraform) 
  • Experience with SQL/NoSQL databases and data pipelines (BigQuery, Dataflow) 
  • GCP certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Developer) 
  • Experience shipping user-facing AI products from concept to production 

Company Description

Sara Software Systems, LLC founded in July 2004 is a small, woman, minority owned and economically disadvantaged 8(a) business as approved by the Small Business Administration (SBA). Owned and managed by experienced IT professionals, we bring a realistic and knowledgeable approach with 15 years of technical excellence to solve complex federal and commercial IT challenges, transform how organizations operate, and protect our Customer's critical infrastructure.
Sara Software Systems, LLC is a process-driven and quality-focused company and we are appraised at Maturity Level (ML) 3 by the CMMI Institute for both DEV + SVC. Our CMMI DEV ML3 appraisal was specifically focused on Agile and DevSecOps. We are International Standards of Organization (ISO) 9001:2015, ISO 20000-1:2011 and ISO 27001:2013-certified.
Sara Software Systems, LLC is a leading technology Services provider with focus in Application Development and Modernization, Agile Transformations, Program Management , Information Technology , Software development, Cybersecurity, IT infrastructure, Business Process Reengineering and Service Desk services for Federal Agencies and commercial organizations. We serve the business needs of our customers by providing strategy, program management, architecture, and sustainment of information technology solutions both in traditional waterfall and agile methodologies that transform ideas to value.