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

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 ...

Cloud Architect

OR · Remote

$66.50 - $84.75/hr

... GCP and Azure for a multi-cloud architecture perspective. This role bridges cloud engineering ... data. Minimums and maximums may vary based on location. Individual pay is based on skills ...

Partnering closely with Engineering, Enterprise Architecture, Finance, Cloud Platform teams ... AWS, and GCP. Develop reusable reference architectures, solution patterns, and governance ...

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 Aug 30, 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?

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 as a GCP Data Engineer?

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.

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.

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. Skills in cloud services, data pipelines, and tools like BigQuery and Dataflow are highly sought after by organizations seeking scalable data solutions.

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

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

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

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

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

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

Infographic showing various Gcp Data Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $129,588 per year, or $62.3 per hour.

Infrastructure Engineer

OR • Remote

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 1 hour ago


Job description

About Anytime AI

At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal injury cases, facilitating legal research, auto-drafting legal memos, and analyzing legal documents and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers reduce up to 90% of manual efforts, enabling them to better serve their clients and positively impacting the lives of millions.

Position Overview

As an Infrastructure Engineer, you will play a pivotal role in building and maintaining the foundational systems that power our AI-driven legal tech platform. Your work will directly ensure the stability, scalability, and security of our services. You will design and optimize high-concurrency distributed systems, ensure that complex AI tasks and data flows run efficiently, and provide robust technical support for our full-stack engineers and AI researchers.

Responsibilities

  • Design, build, and maintain high-availability, high-concurrency, and low-latency distributed infrastructure to support the platform’s rapidly growing business needs.
  • Lead the in-depth analysis of microservices and web service architectures, tackle performance bottlenecks, and continuously optimize API response times and overall system throughput.
  • Establish comprehensive monitoring, alerting, and logging systems to ensure 99.9%+ high availability for core services. Rapidly respond to and troubleshoot complex production incidents.
  • Manage and optimize cloud-based infrastructure (e.g., AWS/GCP), utilizing tools like Docker and Kubernetes for advanced service orchestration and scheduling.
  • Collaborate closely with product managers, designers, and backend engineers to translate complex legal workflows into intuitive, responsive UI components.
  • Optimize data routing across complex systems, ensuring highly efficient and stable operation of relational databases, NoSQL databases (such as MongoDB), and caching/vector stores (such as Redis, Pinecone).
  • Uphold the highest standards of software quality and data security at the infrastructure level, implementing security best practices given the strict sensitivity of legal and medical data.

Requirements

  • B.S. in Computer Science, Engineering, or a related field.
  • Core: Extensive experience in developing distributed systems, with the ability to independently design and implement complex, scalable backend architectures.
  • Core: Deep understanding of Web Service architecture, with exceptional skills in system tuning, performance bottleneck analysis, and resolution (e.g., handling high concurrency and massive data processing).
  • 3+ years of experience in backend development, infrastructure engineering, or Site Reliability Engineering (SRE).
  • Proficiency in at least one major backend programming language (such as Python, Go, or Rust) with strong coding fundamentals.
  • Solid experience with various database technologies (MySQL, PostgreSQL) and NoSQL/caching mechanisms (Redis, DynamoDB, etc.).
  • Familiarity with the cloud-native ecosystem, including hands-on experience with containerization (Docker), orchestration tools (Kubernetes), and Infrastructure as Code (IaC, e.g., Terraform).
  • Strong analytical and problem-solving skills, adept at identifying issues and maintaining optimal performance under varying loads.

Preferred Skills

  • Major Plus: Hands-on experience participating in the architecture or backend service development of Agentic AI Systems.
  • Experience developing foundational support services for AI-driven products or open-source LLM projects.
  • Familiarity with information security compliance standards (e.g., SOC2, HIPAA) and experience architecting systems for sensitive legal or healthcare data.
  • Capability to work effectively in a fast-paced and dynamic startup environment.

This Might Be for You If...

  • You thrive on proactivity and have a “get things done” mindset.
  • You are eager to keep up with the latest industry trends and committed to continuous learning and innovation.
  • You possess a strong passion for building resilient, scalable infrastructure that enables cutting-edge AI products.
  • You excel in environments where projects and priorities may shift, showing your flexibility and problem-solving prowess.
  • You are an excellent communicator, capable of effectively collaborating with a dispersed team to drive platform reliability and performance.
  • You are keen on working in a collaborative environment where your work directly influences the direction of the company.

What We Offer

  • Competitive salary and equity package.
  • Comprehensive benefits package including health, dental, and vision insurance.
  • Opportunity to work with a talented and passionate team at the forefront of AI technology.
  • Flexible work environment with opportunities for professional growth and development.
  • The chance to significantly impact the legal tech industry and help shape the future of AI in law.

How to Apply

If you’re passionate about technology and product in the AI and legal tech space and eager to make a significant impact in a high-growth startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven solutions.

Anytime AI is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

Company Description

www.anytimeai.ai