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Remote Privacy Jobs in Oregon (NOW HIRING)

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Privacy / Accessibility * About Us * What We Do * Our Experience * Careers * Contact

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Remote Privacy information

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$105.2K

$122.1K

$136.9K

How much do remote privacy jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote privacy in Oregon is $122,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $136,400.00 per year, depending on experience, location, and employer.

What is a remote privacy?

A Remote Privacy job involves managing data protection, compliance, and security policies for organizations while working remotely. Professionals in this role ensure that personal and sensitive information is handled in accordance with privacy regulations such as GDPR, CCPA, or HIPAA. Responsibilities may include policy development, risk assessments, data breach response, and employee training. These roles are commonly found in industries like technology, healthcare, finance, and e-commerce. Strong knowledge of privacy laws, cybersecurity practices, and data governance is essential.

What are the main responsibilities and challenges of working in a remote privacy role?

Remote Privacy professionals are tasked with developing, implementing, and monitoring privacy policies to ensure organizations adhere to relevant data protection laws. They often work cross-functionally with IT, legal, and compliance teams to assess risks, conduct privacy impact assessments, and respond to data subject requests. One key challenge in this remote position is maintaining effective communication and collaboration across distributed teams, especially when addressing urgent compliance issues or data breaches. Staying ahead of evolving regulations and technological changes is also crucial, so ongoing learning is important. The role offers a unique opportunity to shape privacy practices while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive in the remote privacy position, and why are they important?

To thrive in a Remote Privacy role, you need a strong background in data privacy laws, information security, and risk management, often supported by relevant certifications such as CIPP, CIPM, or CISSP. Familiarity with privacy management platforms, data mapping tools, and compliance software is typically required. Excellent analytical skills, attention to detail, and the ability to communicate complex regulations clearly are key soft skills for this position. These competencies are essential for ensuring organizations remain compliant with global privacy regulations and for effectively mitigating privacy risks in a remote work environment.

What are the most commonly searched types of Privacy jobs in Oregon?

The most popular types of Privacy jobs in Oregon are:

What are popular job titles related to Remote Privacy jobs in Oregon?

For Remote Privacy jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Remote Privacy jobs?

Cities in Oregon with the most Remote Privacy job openings:

Infographic showing various Remote Privacy job openings in Oregon as of September 2026, with employment types broken down into 2% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $122,122 per year, or $58.7 per hour.

Software Engineer (US-Remote)

OR โ€ข On-site, Remote

Gnostech LLC
51 - 200 employees

Full-time

Re-posted 3 days ago


Job description

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Careers >> Software Engineer (US-Remote)
Software Engineer (US-Remote)
Summary
Title: Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area
Description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.

Overview

Location

  • US-Remote or Marlton, NJ area

Job Title

  • Software Engineer

Salary

  • Commensurate with industry position, depending on experience

Shift

  • Typical: Monday through Friday 9am to 5pm

Travel

  • Less than 5%

Position Responsibilities

  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance

  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills

  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications

  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required

  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience

  • 2+

===============================================================

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.govย 
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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