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Remote Data Engineer Jobs in Corvallis, OR (NOW HIRING)

System One

OSP Engineer

Salem, OR · Remote

Mountain Ltd. has an opening for a Remote OSP Engineer to work in the Salem, OR area . Job Overview ... Performs duties such as collecting field data, preparing/organizing permit packages for submittal ...

Mavensoft Technologies, LLC.

Sr. Java Developer

Salem, OR · On-site +1

$57.50 - $73.25/hr

Salem, OR - REMOTE Duration: 12 Months Key Responsibilities * Develop, test, and implement software ... Complete operational, enhancement, maintenance, performance, refactoring, UI, and data/reporting ...

micro1 AI

Bioinformatics Software Engineer

Salem, OR · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site +1

$195K - $304K/yr

With industry-leading safety standards and years of proven deployment data, we're pioneering a new ... Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Corvallis, OR

Remote Data Engineer information

See Corvallis, OR salary details

$46.1K

$134.4K

$183.9K

How much do remote data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote data engineer in Corvallis, OR is $134,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $142,400.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Corvallis, OR?

The most popular types of Data Engineer jobs in Corvallis, OR are:

What job categories do people searching Remote Data Engineer jobs in Corvallis, OR look for?

The top searched job categories for Remote Data Engineer jobs in Corvallis, OR are:

What cities near Corvallis, OR are hiring for Remote Data Engineer jobs?

Cities near Corvallis, OR with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Corvallis, OR as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $134,387 per year, or $64.6 per hour.

Project Analyst - Strategic Data Centers

Cummins

Salem, OR • Remote

Full-time

Medical, Dental, Life, Retirement

This job post has expired 3 days ago. Applications are no longer accepted.

Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 269 frontline employees who took The Breakroom Quiz

115th of 544 rated manufacturers

Job description

Job Summary:

Acts as an extension of senior management ensuring a positive customer experience while being the representative of senior management to others. Provides administrative support and performs numerous duties, including scheduling, writing correspondence, emailing, overseeing visitors, routing callers and answering questions and requests.

We are looking for a talented Project Analyst - Strategic Data Centers to join our Distribution business in (Remote).
 
100% Remote 
 

This role will make an impact in the following ways:

Gather, analyze, and interpret business data from multiple sources to support strategic Data Center initiatives.
Develop and maintain dashboards, reports, and scorecards using Power BI, Tableau, Excel, or similar business intelligence tools.
Monitor key performance indicators (KPIs) and provide actionable insights to support business decision-making.
Identify trends, risks, gaps, and opportunities through data analysis and reporting.
Partner with business stakeholders to understand reporting requirements and translate business needs into analytical solutions.
Support data validation, quality checks, and reporting accuracy to ensure data integrity.
Create recurring and ad hoc reports for leadership and operational teams.
Automate and improve manual reporting processes to increase efficiency and streamline operations.
Present findings and recommendations in a clear, concise, and business-relevant manner.
Collaborate with IT, data engineering, project teams, and business stakeholders to improve data availability and usability.
Support project schedule tracking, reporting, and coordination activities to help ensure delivery within established timelines.
Adhere to Cummins Health, Safety & Environmental policies.

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.
  • Gather, analyze, and interpret business data from multiple sources.
  • Develop dashboards, reports, and scorecards using BI tools such as Power BI, Tableau, or similar platforms.
  • Partner with business teams to understand reporting needs and translate them into analytical solutions.
  • Identify trends, gaps, risks, and improvement opportunities through data analysis.
  • Support data validation, quality checks, and reporting accuracy.
  • Create recurring and ad hoc reports for leadership and operational teams.
  • Monitor key performance indicators and provide insights to drive business performance.
  • Automate manual reporting processes where possible.
  • Present findings in a clear, concise, and business-relevant manner.
  • Work with IT, data engineering, and business teams to improve data availability and usability.

Education, Licenses, Certifications: 
High school diploma or certificate of completion of secondary education or equivalent experience to the extent such experience meets applicable regulations.
This position may require licensing for compliance with export controls or sanctions regulations. 
Experience: 
Significant work experience and in-depth knowledge obtained through specialized training and relevant experience.

Compensation and Benefits

Base salary rate commensurate with experience. Additional benefits vary between locations and include options such as our 401(k) Retirement Savings Plan, Cash Balance Pension Plan, Medical/Dental/Life Insurance, Health Savings Account, Domestic Partners Coverage and a full complement of personal and professional benefits.

In order to be successful in this role you will need the following:

Experience gathering, analyzing, and interpreting business data from multiple sources.
Experience developing dashboards, reports, and visualizations using Power BI, Tableau, Excel, or similar BI tools.
Strong analytical and problem-solving skills with the ability to identify trends and provide actionable insights.
Ability to communicate complex data and findings to both technical and non-technical audiences.
Experience supporting project coordination, reporting, and schedule management activities.
Strong organizational skills with the ability to manage multiple priorities and deadlines.
Experience working with cross-functional teams and stakeholders to deliver business solutions.
Proficiency in Microsoft Office applications, particularly Excel and PowerPoint.
Knowledge of data validation, reporting accuracy, and process improvement methodologies.
Ability to work independently while maintaining a high level of accuracy and attention to detail.


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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919

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