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Remote Ai Data Engineer Jobs in Oregon (NOW HIRING)

BI Data Engineer

Springfield, OR · On-site +1

$52.75 - $68.50/hr

Working knowledge of AI prompt engineering and the effective application of generative AI capabilities within D360 to support data analysis, reporting, automation, and business intelligence workflows.

Group Product Manager, AI and Data

OR · Remote

$171K - $190K/yr

Remote, United States This role requires the individual to be based in Eastern Standard Time (EST ... Partner closely with Platform, Engineering, and Strategic Partners to ensure infrastructure ...

Senior Data Engineer

$105K - $150K/yr

Job Summary As a Senior Data Engineer at WellBe you will play a pivotal role in collecting ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

Senior Security Engineer, Data Security

OR · On-site +1

$114K - $156K/yr

Remote - US Time Zone Requirements - This team operates on the East/West Coast time zones. Travel ... Familiarity with cutting edge AI data protection tooling such as endpoint DLP, data classification ...

You'll define the technical direction for the automation platform (data models, API contracts ... in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI ...

Principal Software Engineer, AI

OR · On-site +1

$134K - $180K/yr

Remote - US Clari + Salesloft are building the next era of enterprise revenue - one where teams ... Identify data platform dependencies and work closely with data engineering to ensure the underlying ...

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... Remote#LI-MJ1#SeniorEmployment Type: OTHER

Forward Deployed AI Engineer

OR · Remote

$103K - $139K/yr

Remote with travel (~25%) Reports to: Global AI Center of Excellence Lead Role Overview NewRocket ... Implement integrations with AI platforms, APIs, and enterprise data sources. Product & Platform ...

Platform Data Science & Engineering (Platform DSE) is an internal-facing team that helps Netflix ... and AI infrastructure. We're looking for a full stack engineer to join our diverse team of ...

Secure AI workflows with structured and unstructured data. Influence Product and Architecture ... United States (Remote) with travel to customers as needed. Impact: The Founding Public Sector SE ...

The AI/ML Engineer (Data Scientist) is responsible for developing, validating, and operationalizing analytic models, statistical methods, and machine learning approaches that support readiness ...

Data Engineering Manager

OR · On-site +1

$172K - $254K/yr

Foremost an engineer . You exemplify high code quality and guide others, and have at least 5 years ... ML/AI-aware. You have working knowledge of how ML/AI applications are deployed and monitored, and ...

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... We need someone who understands modern data platforms, AI-ready data architecture, medallion or ...

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Implement secure handling of sensitive enterprise and healthcare data throughout AI workflows. AI ...

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Integrate AI models, data pipelines, and inference services into production systems. * Collaborate ...

Showing results 21-40

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?

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 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:

BI Data Engineer

Roseburg Forest Products

Springfield, OR • On-site, Remote

$52.75 - $68.50/hr

Full-time

Re-posted 17 days ago


Roseburg Forest Products rating

7.7

Company rating: 7.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Description
Purpose
The BI (Business Intelligence) Data Engineer will be responsible for designing, administering, implementing, and maintaining an enterprise business intelligence platform. Your mission is to build useful, powerful, easy-to-use experiences for investigating data.
This position will collaborate with a team of engineers to deploy Tableau and build interfaces to help push forward a self-service analytics culture enabling business users to quickly and easily find what they're looking for better than they can today.
Responsibilities include architecture, design, development, testing, and support of a new Tableau system working in conjunction with Data Warehousing team members as well as end-users from a variety of departments.
Success in this position requires self-motivation, strong technical ability, cross-functional communication, mentoring, team, and leadership skills.
The candidate will be required to accurately estimate, plan and execute work assignments. This individual is recognized within the team as a subject matter expert of technical and process needs. This person will influence standards and best practices, lead challenging projects and contribute to the overall strategic direction for the team and company.
Key Responsibilities
  • Design, develop, test, and deploy Business Intelligence analytics and reporting solutions
  • Lead the design, development, and maintenance of data integration, services, etc. to provide the right data to the right place at the right time
  • Ensure designed systems are highly reliable, self-recovering, and require little or no supporting manpower
  • Collaborate with business stakeholders to develop an understanding of their business and operational processes to develop Tableau interfaces and reports and develop self-service reporting solutions
  • Develop dashboards visualizing a wide variety of topics
  • Manage solution enhancement/defect backlog lists and continuously deliver agreed upon improvements through design, development and testing
  • Evaluate new and existing data streams for data analysis and presentation proof of concept development
  • Train users on how to use solutions through user focused documentation including written and video documentation
  • Mentor and develop technical competency of junior team members
  • Perform and/or lead necessary tuning of database and ETL systems and objects to ensure timing and performance goals are met
  • Collaborate with existing and prospective users to define Data Warehousing and Business Intelligence requirements
  • Model Company core values
  • Other duties as assigned

Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Mathematics, or related area of study; or equivalent combination of education and/or relevant work experience
  • 3+ years' experience in Tableau
  • Working knowledge of AI prompt engineering and the effective application of generative AI capabilities within D360 to support data analysis, reporting, automation, and business intelligence workflows.
  • Hands on experience with SQL and non-SQL databases like Oracle, SQLServer, or similar
  • Hands on experience with Data Marts for Reporting, Dashboards and Analytics
  • Proficient relational database experience. The individual must have an excellent command of SQL. (MS SQL Server preferred)
  • 3+ years of experience in data integration, ETL, and data management or comparable positions that handle large/complex data sets, developing automation,
  • Proficient in understanding of data management practices, data architecture principles, and data governance process
  • Knowledge of Tableau best practices in performance tuning and user-centric design, proactive alerts, etc
  • Proficient in understanding of data mapping and lineage strategies
  • Excellent written communication and presentation skills

Preferred Qualifications
  • Tableau Certification

What Roseburg Forest Products employees say

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Benefits

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