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Remote Ai Data Engineer Jobs in Oregon (NOW HIRING)

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

... AI initiatives. This role is remote-friendly and reports to the Manager, Data & Analytics ... As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team ...

Enable data access and preparation for data scientists and AI/ML engineers, ensuring data is usable ... This position may be performed in a remote or hybrid capacity. * Travel: Limited travel to Fort ...

Data Engineer

OR · Remote

$120K - $150K/yr

This is a fully remote role based in the United States. What you'll be doing The primary ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

New

Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ... ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and ...

Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ... ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and ...

Senior Data Engineer

$117K - $146K/yr

Overview The Senior Data Engineer plays a pivotal role within our expanding Data and AI team. This ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

$114K - $137K/yr

... Remote and requires U.S. Citizenship Experience with the Department of Energy (DOE) is required ... As a Data Engineer in this role, you will be responsible for designing, building, and maintaining ...

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Remote Ai Data Engineer information

What are some common challenges faced by Remote AI Data Engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What is a Remote AI Data Engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

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

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.
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 are popular job titles related to Remote Ai Data Engineer jobs in Oregon? For Remote Ai Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Engineer jobs in Oregon look for? The top searched job categories for Remote Ai Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Ai Data Engineer jobs? Cities in Oregon with the most Remote Ai Data Engineer job openings:
AI Data Intelligence Lead

AI Data Intelligence Lead

NewRocket

OR • Remote

Other

Re-posted 13 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 #GoBeyondWorkflows 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 contact hr.in@newrocket.com.