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

Cybercoders

Remote Sr. Data Engineer

Portland, OR · Remote

$112K - $152K/yr

Remote Sr. Data Engineer Senior Data Engineer Position Overview We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will be responsible for designing, building ...

Deloitte

AI and Data Science Engineer III

Portland, OR · On-site +1

$121K - $145K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

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Remote Data Engineer information

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$47.2K

$137.6K

$188.2K

How much do remote data engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

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 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 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Portland, OR? The most popular types of Data Engineer jobs in Portland, OR are:
What are popular job titles related to Remote Data Engineer jobs in Portland, OR? For Remote Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Portland, OR look for? The top searched job categories for Remote Data Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Remote Data Engineer jobs? Cities near Portland, OR with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Remote Sr. Data Engineer

Remote Sr. Data Engineer

Cybercoders

Portland, OR • Remote

$112K - $152K/yr

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

Job description

Remote Sr. Data Engineer

Senior Data Engineer
Position Overview
We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines and architectures that support our data-driven initiatives. This role requires a deep understanding of data engineering practices and the ability to work collaboratively with cross-functional teams to enhance our data capabilities.
Key Responsibilities

  • Design and implement scalable data pipelines to support data ingestion and processing.
  • Develop and maintain data architectures that ensure data integrity and accessibility.
  • Utilize Apache Iceberg for efficient data versioning and management.
  • Leverage AWS Athena for querying large datasets and optimizing performance.
  • Implement CI/CD practices for data engineering workflows to enhance deployment efficiency.
  • Collaborate with data scientists and analysts to understand data requirements and provide actionable insights.
  • Monitor and optimize existing data pipelines and architectures for performance and reliability.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 6+ years of experience in data engineering or a related role.
  • Strong proficiency in SQL and experience with relational databases.
  • Expertise in Python for data manipulation and pipeline development.
  • Familiarity with data lake architectures and best practices.
  • Experience with data versioning concepts and tools, preferably Apache Iceberg.
  • Knowledge of CI/CD methodologies and tools for data workflows.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.

Cannot Provide Sponsorship at This Time

Benefits

  • Competitive salary
  • Ability to work from anywhere in the U.S. 
  • Health/dental/vision insurance
  • Flexible leave policy
  • Equity options
  • Clear understanding of work/life balance
  • We are known for our culture!
- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 06/04/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.
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About CyberCoders

Sourced by ZipRecruiter

CyberCoders is a cutting-edge recruiting firm headquartered in Irvine, CA, US. The company operates within the technology industry, specializing in connecting talented professionals with suitable positions across a variety of sectors. Offering a broad spectrum of services, CyberCoders uses innovative, data-driven strategies and a proprietary matching technology to pair candidates with suitable job openings. Since its inception in 1999, CyberCoders has distinguished itself as an industry trailblazer. The company's mission is to deliver effective talent solutions, thus enabling both businesses and workers to achieve their goals.

Industry

Technology, communication and media

Company size

51 - 200 Employees

Headquarters location

Irvine, CA, US

Year founded

1999

Social media

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