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Ai Data Engineer Jobs in Oregon (NOW HIRING)

This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI ...

$114K - $137K/yr

Partner with Data Engineering and BI teams to ensure forecast outputs, KPIs, business logic, and AI-enabled metrics align to governed semantic structures and reporting standards. Create reusable ...

Lead Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

LEAD, DATA ENGINEER - NIKE [Beaverton, OR - USA] WHO YOU'LL WORK WITH Consumer Product and ... This role drives the development of robust data products that support Business Intelligence and AI ...

OR

$105K - $143K/yr

The team actively uses AI tools as part of our development workflow, and we expect this role to ... Mentor data engineers and analysts, raising the technical bar across the team. What you bring to ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Sr. Data Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

OR

$114K - $137K/yr

About this role As a Principal Data Engineer, you will play a key role in developing our modern data infrastructure and play a strategic role in building a cutting-edge analytical data and AI ...

Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and deliver end-to-end solutions that drive customer success Thought Leadership & Practice Development

OR ยท On-site

$150K/yr

Data Engineer Remote At IPT Associates (IPTA), we enjoy solving real-world problems with technology ... Help structure data so it can support visualization, analysis, reporting, and AI-assisted workflows ...

OR ยท On-site

$114K - $137K/yr

We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau ...

Data Engineer

Salem, OR ยท On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Eugene, OR ยท On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

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Showing results 1-20

Ai Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do ai data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for ai data engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Ai Data Engineer position, and why are they important?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What does an AI Data Engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

Which 3 jobs will survive AI?

AI Data Engineers will continue to be in demand as they design, implement, and maintain AI systems, requiring skills in data management, programming, and machine learning. Other roles likely to persist include cybersecurity specialists, who protect systems from evolving threats, and healthcare professionals, especially those involved in patient care and diagnostics, as these fields require human judgment and empathy. These jobs benefit from specialized skills, certifications, and the ability to adapt to technological advancements.

What are some common challenges an AI Data Engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research lead, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in machine learning, deep learning, data engineering, and experience with tools like TensorFlow or PyTorch, often combined with leadership responsibilities and a strong track record of innovation.

What does an AI data engineer do?

An AI data engineer designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence and machine learning models. They work with large datasets, ensure data quality, and use tools like SQL, Python, and cloud platforms to enable efficient data processing and model training.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries like technology or finance.
What are the most commonly searched types of Ai Data Engineer jobs in Oregon? The most popular types of Ai Data Engineer jobs in Oregon are:
What job categories do people searching Ai Data Engineer jobs in Oregon look for? The top searched job categories for Ai Data Engineer jobs in Oregon are:
Infographic showing various Ai Data Engineer job openings in Oregon as of July 2026, with employment types broken down into 69% Full Time, 21% Part Time, 9% Contract, and 1% Nights. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.
AI Data Intelligence Lead

AI Data Intelligence Lead

NewRocket

OR โ€ข Remote

Other

Posted 20 days ago


Job description

All applicants must provide a LinkedIn profile with a clear picture of themselves.

AI Data Intelligence Lead

AI Foundry | NewRocket

Location: Remote (Occasional travel as needed)
Reports to: Global AI Center of Excellence Lead

Why Us

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust-AI that delivers lasting business value.

We #GoBeyondWorkflowsย to create new kinds of experiences for our customers.

Come join our Crew!

Role Overview

NewRocket is seeking an AI Data Intelligence Lead to design and build AI-powered capabilities that modernize enterprise data and transform it into AI-ready operational context.

This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI systems, intelligent automation, and enterprise AI platforms to operate on trusted, contextual, and continuously improving data.

As part of the AI Foundry within NewRocket's AI Center of Excellence, this role will help establish the AI Data Readiness layer of the NewRocket Intelligence Platform, enabling scalable AI deployments across enterprise environments including ServiceNow and other operational platforms.

Key Responsibilities

  • AI Data Intelligence
  • Design and implement AI-driven systems that improve enterprise data quality through:
  • AI-powered data enrichment and inference
  • Entity resolution and fuzzy matching
  • Automated classification and taxonomy generation
  • Anomaly detection and data quality monitoring
  • Achema mapping and data harmonization across datasets
  • AI Data Architecture
  • Design modern data platforms that support AI systems, including:
  • Semantic indexing and embeddings
  • Knowledge graphs and ontology frameworks
  • AI-ready data pipelines and enrichment layers
  • Real-time ingestion and contextualization of enterprise data
  • Integrate AI data intelligence capabilities across enterprise systems such as ServiceNow, ERP, CRM, and operational platforms.
  • AI Data Lineage & Observability
  • Establish enterprise capabilities for:
  • AI data lineage and traceability
  • Data provenance across AI pipelines
  • Observability of data quality and enrichment accuracy
  • Explainability and auditability for AI-driven systems
  • Product & Platform Development
  • Translate data intelligence concepts into scalable capabilities including:
  • Reusable data modernization frameworks
  • AI-powered data enrichment services
  • Internal accelerators and intellectual property
  • Client-ready data intelligence solutions
  • Cross-Team Collaboration

Work across:

  • AI / ML Engineering
  • Data Engineering
  • Data Science
  • Forward Deployed Engineers
  • ServiceNow platform teams to deliver production-ready AI data intelligence systems.

Required Experience

  • 8+ years in data engineering, machine learning, or AI-driven data platforms
  • Experience building AI-powered data pipelines or data intelligence systems
  • Strong background in:
  • enterprise data modeling and architecture
  • large-scale data processing
  • Machine learning applied to data systems
  • Experience with technologies such as:
  • Python
  • ML frameworks
  • vector databases
  • knowledge graphs
  • Modern data platforms (Databricks, Snowflake, etc.)
  • Preferred Experience
  • Experience applying LLMs or generative AI to enterprise data systems
  • Experience with semantic retrieval or RAG architecture
  • Familiarity with ServiceNow data models (CMDB, workflow data, knowledge systems)
  • Experience in integrating AI solutions with ServiceNow or other enterprise workflow platforms
  • Experience building data platforms or reusable AI accelerators

Why This Role Matters

Enterprise AI systems depend on trusted, contextual enterprise data. Without modern data intelligence capabilities, even the most advanced AI platforms fail to deliver reliable outcomes.

This role builds the AI Data Intelligence layer that enables enterprise AI systems, autonomous workflows, and agentic platforms to operate effectively.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace.We value and celebrate diversity, believing that every employee matters and should be respected and heard.We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status.For individuals with disabilities who would like to request an accommodation, please contactย hr.in@newrocket.com.