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Remote Data Engineer Jobs in Vancouver, WA (NOW HIRING)

Data Engineer

Portland, OR · On-site +1

$121K - $145K/yr

They are seeking a Senior Database engineer to implement a remote management system that can pass/receive commands and data to/from client devices.ResponsibilitiesMaintaining and enhancing the ...

New

Data Engineer

Portland, OR · On-site +1

$121K - $145K/yr

They are seeking a Senior Database engineer to implement a remote management system that can pass/receive commands and data to/from client devices.ResponsibilitiesMaintaining and enhancing the ...

New

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing ... A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work.

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Collaborate with domain experts (engineering, operations) to translate failure patterns into ML ...

Senior Manager, Data Security

Portland, OR · On-site +1

$121K - $166K/yr

This leader will own the data security engineering pillar, with accountability for data ... This role is remote-friendly within North America. For those who prefer in-office or hybrid work ...

Maintain awareness of trends and advancements in programming technology and apply these ... This is a remote position with occasional on-site attendance required for meetings and business ...

Senior Software Engineer (Remote)

Portland, OR · Remote

$129K - $171K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Work with data technologies such as PostgreSQL, MySQL, and Redis to support reliable, scalable ...

Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... Build scalable data processing pipelines and high-throughput service infrastructure * Design and ...

Developer

Portland, OR · On-site +1

... support of data releases, upgrades, or critical system events. Remote Work Eligibility Onsite ... programming languages and tools (Python, SQL, dbt, Git, etc.) to develop integrations and data ...

Developer

Portland, OR · On-site +1

$40 - $45/hr

... support of data releases, upgrades, or critical system events. Remote Work Eligibility Onsite ... programming languages and tools (Python, SQL, dbt, Git, etc.) to develop integrations and data ...

Systems Engineer

Happy Valley, OR · On-site +1

$65 - $85/hr

Create and manage Supplier Data Requirements Lists to clearly define and control supplier ... primarily remote. Individuals must be a very strong fit for the qualifications and have ...

Systems Engineer

Happy Valley, OR · On-site +1

$65 - $85/hr

Create and manage Supplier Data Requirements Lists to clearly define and control supplier ... primarily remote. Individuals must be a very strong fit for the qualifications and have ...

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Showing results 1-20

Remote Data Engineer information

See Vancouver, WA salary details

$46.6K

$135.8K

$185.8K

How much do remote data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data engineer in Vancouver, WA is $135,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,900.00 and $143,900.00 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.

What are the most commonly searched types of Data Engineer jobs in Vancouver, WA?

The most popular types of Data Engineer jobs in Vancouver, WA are:

What are popular job titles related to Remote Data Engineer jobs in Vancouver, WA?

For Remote Data Engineer jobs in Vancouver, WA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Vancouver, WA look for?

The top searched job categories for Remote Data Engineer jobs in Vancouver, WA are:

What cities near Vancouver, WA are hiring for Remote Data Engineer jobs?

Cities near Vancouver, WA with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Vancouver, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,791 per year, or $65.3 per hour.

Data Engineer

1872 Consulting

Portland, OR • On-site, Remote

$121K - $145K/yr

Full-time

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


Job description

Data EngineerPortland, OR – Hybrid onsite 2-3 days per weekThis position is available with one of the world's most experienced platform firmware security companies. They are seeking a Senior Database engineer to implement a remote management system that can pass/receive commands and data to/from client devices.ResponsibilitiesMaintaining and enhancing the functionality and performance of existing database programs.Monitoring and enhancing databases and related systems to optimize performance.Proactively addressing scalability and performance issues.Ensuring data quality and integrity while supporting large data sets.Debugging and resolving database reliability, integrity, and efficiency.Documenting processes related to the design, configuration, and deployment to new instances.Collaborate with Product, Engineering and Data Science to ensure data quality and integrity for data reporting, exploration, and analysis.Follow agile development methodologies to deliver solutions and product features by following DevOps practices.Requirements:5+ years of Data Engineering experienceExperience with AWS or Azure Cloud Services (AWS preferred)Experience with Cloud-based Data Warehousing designMUST have at least some PostgreSQL experienceNice to have:Experience with Python or similar language for data automationExperience with HadoopDevOps Experience: Docker, Jenkins, GitHub, etc.Tableau, Domo or Power BI


1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014