ZipRecruiter

Log In

1

Cybersecurity Data Engineer Jobs in Oregon (NOW HIRING)

Trilon

$114K - $137K/yr

The Data Engineer plays a key role in that mission by building and maintaining the data platform ... Partner with cybersecurity and infrastructure teams to ensure data models and access patterns meet ...

Defense Unicorns

OR · On-site

$114K - $137K/yr

... with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer ... Knowledge of systems engineering principles to ensure the reliability, scalability, and ...

LTS

Cyber Security Engineer

OR · On-site +1

This role will support cybersecurity engineering, risk management, and security modernization ... Support security reviews for VIA platform capabilities, including data handling, access control ...

Sargent & Lundy

$118K - $180K/yr

This position requires an engineer who has expertise in US nuclear cyber security rules and NEI ... using data and modern tools such as automation and AI to improve workflows, reduce rework, and ...

LMI

Overview We're looking for a Cybersecurity Engineer to support the secure deployment and continuous ... data handling, prompt and tool-call risk, and model output controls Strong working knowledge of ...

LMI

Overview We're looking for a Cybersecurity Engineer to support the secure deployment and continuous ... data handling, prompt and tool-call risk, and model output controls Strong working knowledge of ...

Astound

Cyber Security Engineer

Portland, OR

A Day in the Life of the The Cyber Security Engineer is responsible for the design, implementation ... SIEM data, network traffic, identity signals, and threat intelligence aligned to MITRE ATT&CK.

Vectra

OR · On-site

$104K - $143K/yr

Experience * 6+ years of experience as a software engineer, machine learning engineer, or AI ... You'll work on meaningful, high-impact problems alongside experts in AI, data, and cybersecurity ...

Career Opportunities | (ISC)²

As the world's leading nonprofit member organization for cybersecurity professionals, our core ... Final pay is based on several factors including but not limited to internal equity, market data ...

(ISC)2

As the world's leading nonprofit member organization for cybersecurity professionals, our core ... Final pay is based on several factors including but not limited to internal equity, market data ...

Synergy BIS

$57 - $75.75/hr

A Kubernetes Engineer is responsible for managing and orchestrating containerized applications ... A BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or ...

Hp

Principal Data Solutions Architect

Corvallis, OR

$147K - $230K/yr

Familiarity with cybersecurity considerations in industrial and cloud-connected environments ... Data Engineering * Data Modeling * Digital Twins * Hybrid Edge+Cloud Systems * Extract Transform ...

Synergy BIS

Lead Platform Developer

$59 - $77.25/hr

Reliability practices: SRE, SLOs/error budgets, chaos engineering. * Regulated environments (e.g ... A BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or ...

Synergy BIS

Coordinate with DevOps team member to ensure timely and reliable release to customer. * Ensure ... A BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or ...

next page

Showing results 1-20

All JobsCybersecurity Data Engineer JobsCybersecurity Data Engineer Jobs in Oregon

Cybersecurity Data Engineer information

What does a Cybersecurity Data Engineer do?

A Cybersecurity Data Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze security-related data. Their main goal is to help organizations detect and respond to cyber threats by ensuring that data pipelines and storage solutions are secure and efficient. They often work with large datasets, security tools, and machine learning algorithms to identify vulnerabilities and unusual activity. Additionally, they collaborate with other IT and security professionals to implement best practices and enhance overall cybersecurity posture.

What are the key skills and qualifications needed to thrive as a Cybersecurity Data Engineer, and why are they important?

To thrive as a Cybersecurity Data Engineer, you need strong skills in data engineering, cybersecurity best practices, and programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with security information and event management (SIEM) systems, big data tools like Hadoop or Spark, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are crucial for designing secure data pipelines, detecting threats, and ensuring organizational data integrity.

What is the difference between Cybersecurity Data Engineer vs Cybersecurity Analyst?

AspectCybersecurity Data EngineerCybersecurity Analyst
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, engineering teams, IT departmentsSecurity operations centers, incident response teams
Employer & Industry UsageTech companies, finance, healthcareGovernment agencies, corporations, cybersecurity firms
Common Search & ComparisonYesYes

While both roles require cybersecurity certifications and work within security-focused environments, Cybersecurity Data Engineers primarily develop and manage data infrastructure for security analytics, whereas Cybersecurity Analysts focus on monitoring, threat detection, and incident response. Understanding these differences helps organizations assign the right skills to their security teams.

How does a Cybersecurity Data Engineer typically collaborate with security analysts and IT teams?

Cybersecurity Data Engineers work closely with security analysts and IT teams to design, implement, and maintain data pipelines that support threat detection and incident response. They collaborate by integrating various data sources, ensuring data quality, and providing timely access to relevant information for analysis. Frequent communication and regular meetings are common to align on project requirements, prioritize tasks, and troubleshoot issues together. This collaborative approach ensures that security teams have the accurate, actionable data they need to protect organizational assets effectively.
What are popular job titles related to Cybersecurity Data Engineer jobs in Oregon? For Cybersecurity Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Engineer jobs in Oregon look for? The top searched job categories for Cybersecurity Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Cybersecurity Data Engineer jobs? Cities in Oregon with the most Cybersecurity Data Engineer job openings:
Cybersecurity Data Engineer jobs near you
Infographic showing various Cybersecurity Data Engineer job openings in Oregon as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Data Engineer

Data Engineer

Trilon

$114K - $137K/yr

Full-time

Posted 5 days ago

Job description

Trilon is building a supercharged, technology-enabled future for our people and partners. The Data Engineer plays a key role in that mission by building and maintaining the data platform that powers Trilon's enterprise analytics, automation, and AI capabilities. 
Reporting to the Vice President, Data & DevOps, this role is responsible for designing, developing, and maintaining scalable data integrations and transformations in Azure and Microsoft Fabric. The Data Engineer ensures that Trilon's data platform delivers reliable, high-quality, and well-structured data to support business intelligence, operations, and innovation. 
This role serves as the primary custodian of Trilon's integrated data model and is instrumental in developing a unified, extensible architecture that scales with continued acquisitions. The Data Engineer designs and builds secure Power BI semantic models for consumption by analysts and decision-makers, ensuring consistent and governed access to enterprise data. This role also partners closely with the AI and Innovation vTeam to prepare data for analytics, machine learning, and retrieval-augmented generation (RAG) applications. 
Data Platform Engineering and Maintenance 
  • Serve as the primary owner and technical steward of the Trilon enterprise data platform 
  • Design, develop, and maintain data pipelines and workflows using Azure Data Factory, Synapse, and Microsoft Fabric 
  • Build and manage data transformations, orchestration, and automation across structured, semi-structured, and unstructured data sources 
  • Ensure scalability, reliability, and performance of the data platform as Trilon continues to grow through acquisition 
  • Implement monitoring and alerting to proactively detect and resolve pipeline or data quality issues 
Data Integration and Modeling 
  • Develop and maintain integrations between Trilon's enterprise systems, cloud services, and acquired partner environments 
  • Design and maintain a unified, scalable data model that harmonizes data across business systems 
  • Build secure, governed, and high-performance Power BI semantic models optimized for analytics and self-service reporting 
  • Collaborate with business analysts and data consumers to ensure data models support enterprise reporting needs and KPIs 
  • Partner with cybersecurity and infrastructure teams to ensure data models and access patterns meet compliance and governance standards 
Data Quality and Governance 
  • Implement validation and quality checks to ensure accuracy, completeness, and timeliness of enterprise data sets 
  • Maintain metadata, lineage, and documentation to promote transparency and reusability 
  • Define and enforce data quality and consistency standards across all integrated sources 
  • Collaborate with the Technology Asset Manager and Service Platform Manager to align system integrations and data governance 
  • Support data cataloging, discovery, and classification initiatives within Microsoft Purview or equivalent tools 
Automation, Optimization, and Resilience 
  • Develop automated frameworks for ingestion, transformation, and validation using Azure-native tools and pipelines 
  • Implement DevOps principles for data workflows including version control, testing, and deployment automation 
  • Optimize pipeline performance, resource utilization, and data freshness 
  • Build resilience and fault tolerance into data operations to ensure reliability and recovery 
  • Create reusable components and templates to streamline integration of new data sources and partner systems 
AI and Innovation Enablement 
  • Collaborate with the AI and Innovation vTeam to prepare and structure data for AI, ML, and RAG-based applications 
  • Develop and maintain data pipelines that support model training, evaluation, and fine-tuning 
  • Curate and transform unstructured data for retrieval, embedding, and vectorization within AI applications 
  • Ensure data readiness for generative AI tools, chat interfaces, and knowledge retrieval systems 
  • Stay informed of emerging AI data engineering trends and Microsoft Fabric AI integrations 
Collaboration and Cross-Domain Partnership 
  • Partner with application and infrastructure teams to ensure reliable and secure data exchange across systems 
  • Collaborate with business stakeholders and analysts to understand reporting needs and deliver usable data models 
  • Support integration engineers in onboarding new firms and ensuring their data aligns with Trilon's enterprise model 
  • Work closely with cybersecurity and compliance teams to enforce data protection, retention, and access policies 
  • Provide documentation, architecture diagrams, and operational standards for the data platform and pipelines 
  • 5 or more years of experience in data engineering, data integration, or data platform development 
  • Strong hands-on experience with Azure Data Factory, Azure Synapse, Microsoft Fabric, and related Azure data services 
  • Proficiency in SQL, DAX, Power Query, and data modeling for Power BI 
  • Experience designing and maintaining Power BI semantic models, datasets, and row-level security configurations 
  • Familiarity with data governance, cataloging, and lineage management in tools like Microsoft Purview 
  • Experience building and optimizing cloud data pipelines with structured, semi-structured, and unstructured data 
  • Understanding of data preparation for AI and machine learning applications, including RAG architectures 
  • Exposure to engineering and geospatial data such as CAD, BIM, and GIS 
  • Strong analytical and problem-solving skills with a focus on scalability and performance 
  • Excellent collaboration and communication skills across technical and business audiences 
  • Bachelor's degree in Computer Science, Data Engineering, or related field preferred 
  • Microsoft certifications such as Azure Data Engineer Associate or Fabric Analytics Engineer Associate are a plus 
  • May require occasional travel to Trilon offices or partner locations for integration or collaboration activities 

Trilon was formed with the vision of building the next Top 20 infrastructure consulting firm in North America by bringing together some of the nation's best infrastructure consulting firms, focused on delivering practical and sustainable infrastructure solutions. Trilon is backed by Alpine Investors, a PeopleFirst Private Equity Firm. Trilon currently comprises 5,500+ staff across the US. For more information, visit www.trilon.com.
Pay Transparency
The base salary range for this role is indicated in the posting. This range reflects the company's good faith estimate of the compensation for this position at the time of posting. Final compensation will be determined based on factors such as experience, skills, qualifications, internal equity, and geographic location.

Apply