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Remote Data Privacy Jobs in Oregon (NOW HIRING)

BerryDunn

Senior Healthcare Data Engineer

$105.90K - $143.90K/yr

You can be in-office in either Portland, ME or Manchester, NH or potentially remote You Will ... data privacy regulations (e.g., HIPAA). * Data Quality Expertise: Strong ability to analyze data ...

Iron Mountain

Director, Solution Architecture

OR · On-site +1

... data privacy in innovative and socially responsible ways. Are you curious about being part of our ... Drive innovation in end-user computing, including Device as a Service (DaaS), remote employee ...

Cotiviti

Senior Counsel - Partnerships

$139.40K - $189.30K/yr

... data privacy laws (such as HIPAA, CCPA/CPRA, and GDPR), emerging technologies like artificial ... remote working environment. * The intellect and energy to excel in a complex and ever-changing ...

Iron Mountain

Outsourced - Operational Project Manager

OR · Remote

$95K - $120K/yr

... data privacy in innovative and socially responsible ways. Are you curious about being part of our ... Remote (USA) * Comprehensive health, wellness, and retirement plans. * Flexible annual leave ...

Array

Senior Data Analyst

OR · On-site +1

$80/hr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... We encourage you to review CLEAR's Privacy Notice and Terms of Use to understand how your personal ...

Climate First Bank

Director of Customer Experience

OR · Remote

Build remote call center structures, staffing models, operating hours, & escalation frameworks ... Implement strong controls around customer communications, data privacy, recordkeeping, & complaint ...

Array

Senior Commercial Counsel

OR · On-site +1

$200K/yr

Working knowledge of financial services, consumer protection, and data/privacy regulations. * In ... remote office * $100/month to subsidize wifi/cell phone expenses * Summer Fridays (half-day ...

MKS Instruments, Inc.

Associate Corporate Counsel

OR · On-site +1

$126.20K - $210.35K/yr

While this is a remote role - this person must be within 2 hours driving distance from our offices ... Experience with data privacy laws preferred * Ability to provide clear, pragmatic advice in a ...

Iron Mountain

Lead Enterprise Architect

OR · Remote

... data privacy in innovative and socially responsible ways. Are you curious about being part of our ... USA (remote) Job Summary Iron Mountain is seeking a skilled and motivated Lead Enterprise Architect ...

New

HealthEquity

Director, CX Platform & Data Strategy

$137.50K - $182K/yr

Ability to translate data into CX and business decisions #LI-Remote This is a remote position ... We take privacy seriously. You have the option to opt out. If you wish to opt out of this Microsoft ...

Musixmatch S.p.a

Security Practice Lead

OR · On-site +1

... securing data privacy within machine learning pipelines * Hands-on experience with cloud ... Relocation to Bologna (Italy) or remote work. We are a hybrid company. * Italian and English ...

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How much do remote data privacy jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for remote data privacy in Oregon is $50.32, according to ZipRecruiter salary data. Most workers in this role earn between $29.01 and $66.41 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Privacy professional, and why are they important?

To excel as a Remote Data Privacy professional, you need a strong understanding of data protection laws (like GDPR and CCPA), risk assessment, and compliance frameworks, usually supported by a relevant degree or certification (such as CIPP or CIPM). Familiarity with data governance tools, privacy management systems, and encryption technologies is typically required. Exceptional attention to detail, problem-solving abilities, and strong communication skills set top performers apart in this role. These skills and qualifications are crucial to ensure organizations maintain regulatory compliance, protect sensitive information, and build stakeholder trust in a remote environment.

What are some common challenges faced by remote data privacy professionals and how can they be addressed?

Remote data privacy professionals often face challenges such as ensuring secure data handling practices across different devices and networks, staying updated with global privacy regulations, and maintaining effective communication with cross-functional teams. To address these, professionals should leverage encrypted communication tools, follow strict data access protocols, and participate in regular training on evolving compliance requirements. Collaborating closely with IT, legal, and business units helps ensure that privacy standards are consistently met, even in a distributed work environment.

What is a Remote Data Privacy professional?

A Remote Data Privacy professional is someone who works from a remote location to ensure that an organization’s data collection, storage, and usage practices comply with privacy laws and regulations. They help protect sensitive information, develop privacy policies, and advise on best practices for handling data securely. These professionals may also conduct risk assessments, respond to data breaches, and train staff on privacy protocols. Their work is crucial for maintaining trust with clients and avoiding legal penalties related to data misuse.

What is the difference between Remote Data Privacy vs Remote Data Privacy Analyst?

AspectRemote Data PrivacyRemote Data Privacy Analyst
CredentialsData privacy certifications, legal knowledgeData privacy certifications, analytical skills
Work EnvironmentRemote, compliance-focusedRemote, data analysis and privacy assessment
Industry UsageLegal, tech, healthcareTech, finance, healthcare
Job FocusDeveloping privacy policies, complianceAssessing data privacy risks, audits

Remote Data Privacy roles focus on creating privacy policies and ensuring compliance, often requiring legal and regulatory knowledge. Remote Data Privacy Analysts primarily analyze data practices, perform audits, and assess risks. Both roles are remote and industry-relevant, but differ in their core responsibilities and skill sets.

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

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Portland, OR • Remote

Other

Posted 9 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply