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Data Privacy Jobs in Portland, OR (NOW HIRING)

Ralliant

Strategic Sourcing Manager

Beaverton, OR · On-site +1

$134K - $173K/yr

Ensure adherence to compliance, regulatory, and corporate governance standards (e.g., GDPR, data privacy, AI governance). * Partner with CIO, IT architects, engineering leaders, data science teams ...

OCHIN

PEOPLE SYSTEMS & WORKFORCE ANALYST

Portland, OR · On-site

Ensure compliance with data privacy, security, and regulatory requirements. Business Intelligence & Data Visualization * Build and maintain Tableau dashboards and visual analytics solutions.

New

Hp

Marketing Automation Engineer

Vancouver, WA · On-site

$83K - $127K/yr

Familiarity with CRM data privacy regulations (GDPR, CAN-SPAM, CASL) and how they shape data architecture and campaign execution * Experience with CDP or data lake integrations feeding CRM activation ...

Deloitte

Cyber Data Protection Manager

Portland, OR · Remote

$117K - $159K/yr

Our teams work with clients to deliver business-driven data protection and privacy solutions that not only address regulatory requirements, but also enable secure growth, strengthen trust, and ...

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

... data/privacy (PII, retention, access controls); SOC 2/GDPR/HIPAA exposure a plus. * Ability to travel 0-25%, on average, based on client and project needs. * Must be legally authorized to work in the ...

Pwc

Adobe Transformation - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

... data privacy and governance frameworks - Understanding of Adobe ecosystem integration with enterprise CRM - Consulting experience with cross-industry clients - Working with senior marketing and ...

PacifiCorp

Payroll Coordinator

Portland, OR

$61K - $84K/yr

Ensure data privacy, confidentiality, and adherence to compliance requirements. * Validate and escalate concerns related to data integrity and risk. Autonomy * Work independently with limited ...

PacifiCorp

Payroll Coordinator

Portland, OR

$61K - $84K/yr

Ensure data privacy, confidentiality, and adherence to compliance requirements. * Validate and escalate concerns related to data integrity and risk. Autonomy * Work independently with limited ...

PacifiCorp

Payroll Coordinator

Portland, OR · On-site

$61K - $84K/yr

Ensure data privacy, confidentiality, and adherence to compliance requirements. * Validate and escalate concerns related to data integrity and risk. Autonomy * Work independently with limited ...

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All JobsData Privacy JobsData Privacy Jobs in Portland, OR

Data Privacy information

See Portland, OR salary details

$12

$56

$99

How much do data privacy jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data privacy in Portland, OR is $56.59, according to ZipRecruiter salary data. Most workers in this role earn between $40.09 and $72.50 per hour, depending on experience, location, and employer.

What is the difference between Data Privacy vs Data Security?

AspectData PrivacyData Security
FocusProtecting personal and sensitive information from misuse and ensuring compliance with privacy lawsSafeguarding data from unauthorized access, breaches, and cyber threats
CredentialsPrivacy certifications (e.g., CIPP, CIPM), knowledge of privacy lawsSecurity certifications (e.g., CISSP, CISM), technical security skills
Work EnvironmentLegal, compliance, and policy-driven roles within organizationsIT, cybersecurity teams, technical environments

Data Privacy focuses on protecting personal information and ensuring compliance with privacy regulations, while Data Security emphasizes technical measures to prevent unauthorized data access. Both roles are essential for comprehensive data protection but differ in their primary objectives and skill sets.

What is data privacy?

Data privacy refers to the protection of personal or sensitive information from unauthorized access, use, or disclosure. It involves implementing policies, procedures, and technologies to ensure that individuals’ data is collected, stored, and processed in compliance with relevant laws and regulations. Data privacy professionals help organizations mitigate risks, maintain customer trust, and avoid legal penalties by ensuring proper handling of data. This field is especially important in industries that handle large volumes of personal information, such as healthcare, finance, and technology.

What are some common challenges faced by professionals working in data privacy roles?

Professionals in data privacy roles often encounter challenges such as keeping up with rapidly changing regulations, ensuring organization-wide compliance, and balancing data protection with business needs. They frequently collaborate with IT, legal, and business teams to develop and implement privacy policies, manage data subject requests, and respond to potential data breaches. Staying informed about new technologies and emerging threats is also essential, making continuous learning a key part of the role.

What is a data privacy job?

Data privacy jobs focus on helping a company manage and protect information. This has two primary focuses: company information and customer information. In these roles, you may study industry sources to evaluate potential risks, help ensure compliance with applicable laws and regulations, and determine the best response to any violation of these rules. Data privacy jobs often involve using encryption to manage and store sensitive information, determining when or if to share information with others, and creating company policies to help ensure employees do not inadvertently violate privacy protection laws. Some industries—most notably healthcare—have additional data privacy requirements that you may be responsible for enforcing.

What are the key skills and qualifications needed to thrive as a data privacy professional?

To thrive as a Data Privacy professional, you need strong knowledge of data protection laws (like GDPR and CCPA), risk assessment, and compliance best practices, often supported by a relevant degree or certifications such as CIPP or CIPM. Familiarity with privacy management tools, data classification systems, and legal research databases is typically required. Attention to detail, ethical judgment, and effective communication are key soft skills for managing sensitive information and educating stakeholders. These skills ensure organizations remain compliant, protect customer trust, and mitigate the risks of data breaches.
More about Data Privacy jobs
What are the most commonly searched types of Data Privacy jobs in Portland, OR? The most popular types of Data Privacy jobs in Portland, OR are:
What are popular job titles related to Data Privacy jobs in Portland, OR? For Data Privacy jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Privacy jobs in Portland, OR look for? The top searched job categories for Data Privacy jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Privacy jobs? Cities near Portland, OR with the most Data Privacy job openings:
Data Privacy jobs near you
Infographic showing various Data Privacy job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,710 per year, or $56.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Portland, OR • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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