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

Cutsforth, Inc

Data Engineer

Ferndale, WA · On-site +1

$84K - $117K/yr

Data Engineer * Work Location ... Fully remote position, home office * Employment Type: Full-time * Employment Status: Exempt ...

Quora

AI Automation Engineer -Remote

Bellingham, WA · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Maximus

Cloud Platform Engineer

Bellingham, WA · Remote

$58 - $77.50/hr

This is a remote position. Maximus is a trusted federal partner supporting mission‑critical ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

New

Cutsforth, LLC

Full Stack Developer

Ferndale, WA · Remote

Remote but 2 weeks of mandatory training onsite * Employment Type: Full-time * Employment Status ... Background working with machine learning integrations, data pipelines, or AI-assisted tooling

Cutsforth, Inc

Full Stack Developer

Ferndale, WA · On-site +1

$121K - $154K/yr

Remote but 2 weeks of mandatory training onsite * Employment Type: Full-time * Employment Status ... Background working with machine learning integrations, data pipelines, or AI-assisted tooling

Maximus

Appian Developer

Bellingham, WA · Remote

This position is remote and requires a Public Trust security clearance. Maximus TCS (Technology and ... Perform SQL data modeling and database design. * Troubleshoot, debug, and optimize Appian ...

New

Cutsforth, Inc

Associate Product Manager

Ferndale, WA · On-site +1

$117K - $146K/yr

Fully remote position, home office * Employment Type: Full-time * Employment Status: Exempt ... with engineering and data teams. * Exposure to predictive maintenance concepts (RCM, FMEA) or ...

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All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Bellingham, WA

Remote Data Engineer information

See Bellingham, WA salary details

$46.3K

$134.8K

$184.5K

How much do remote data engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for remote data engineer in Bellingham, WA is $134,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $142,900.00 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.

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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Bellingham, WA? The most popular types of Data Engineer jobs in Bellingham, WA are:
What are popular job titles related to Remote Data Engineer jobs in Bellingham, WA? For Remote Data Engineer jobs in Bellingham, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Bellingham, WA look for? The top searched job categories for Remote Data Engineer jobs in Bellingham, WA are:
What cities near Bellingham, WA are hiring for Remote Data Engineer jobs? Cities near Bellingham, WA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Data Engineer

Data Engineer

Cutsforth, Inc

Ferndale, WA • On-site, Remote

$84K - $117K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Role Information:
  • Job Title: Data Engineer
  • Work Location: Fully remote position, home office
  • Employment Type: Full-time
  • Employment Status: Exempt, salaried
  • Visa sponsorship is not available for this position.
  • Must reside in the United States.
  • We are not accepting applicants for remote workers in California, Illinois, and New York at this time.
Compensation:
  • $84,299 - $117,636, depending on years of experience
Role Overview:
We're looking for a skilled and innovative Data Engineer to join our team and help shape the future of how we use data to drive real operational outcomes. In this role, you'll design and maintain scalable data pipelines, prepare and serve high-quality datasets, and partner with our data science team to support their AI/ML workflows. If you have strong data engineering fundamentals and enjoy research and development, Cutsforth is the organization for you.
Key Responsibilities:
  • Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads
  • Write clean, efficient, and well-documented Python code for data processing and automation tasks
  • Support the integration and monitoring of AI/ML models in production by delivering reliable, well-structured data pipelines
  • Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teams
  • Participate in cross-functional meetings and planning sessions to align data engineering efforts with broader business goals
  • Stay current with advancements in data engineering tools, techniques, and industry-specific applications, particularly within power, oil, and gas environments
  • Document processes, data models, and systems in a way that supports knowledge sharing and team continuity
Required Qualifications:
  • 2-5 years of experience in data engineering, data science, or a related technical role
  • Experience with AI/ML workflows and the data needs of model development, including supporting model deployment in production environments
  • 1-4 years of hands-on experience with Databricks for building and managing data pipelines
  • 1-2 years of hands-on experience with Apache Spark for distributed data processing
  • 1-3 years of experience with Microsoft Azure; equivalent experience with AWS or GCP may substitute
  • Strong proficiency in Python for data engineering pipelines
  • Strong proficiency in SQL for querying, transforming, and validating large datasets
  • Experience with Git and standard version control workflows, including branching, pull requests, and code review
  • Experience designing and managing end-to-end data pipelines (data ingestion to transformation to validation to serving)
  • Strong data system design skills, including data modeling and architecting scalable, reliable, and maintainable data systems
  • Demonstrated ability to collaborate effectively across cross-functional teams
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
Preferred Qualifications:
  • Master's degree in a relevant technical discipline
  • Experience working with machine health datasets and/or condition monitoring applications
  • Background in the power, oil, or gas industry - understanding of operational data, equipment telemetry, or industrial IoT environments is a strong plus
  • Experience with workflow orchestration tools
Other Qualifications:
  • Successfully pass background check for cybersecurity site access
  • Design and implement Bronze, Silver, and Gold layer pipelines to ingest, transform, and serve structured and semi-structured data
  • Prepare, transform, and serve datasets that support the data science team's work in predictive analytics, anomaly detection, and operational optimization
  • Collaborate across engineering, operations, and product teams to understand data needs and translate them into scalable technical solutions
  • Operationalize and monitor the data workflows that feed deployed models, ensuring reliability and continuous improvement
  • Champion data quality, governance, and best practices across the data ecosystem
  • Contribute to the evaluation and adoption of emerging data engineering tools, frameworks, and methodologies
Cybersecurity Role Expectations:
  • Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.
  • Candidate is expected to maintain a cybersecure work environment.
Benefits:
  • Paid Time Off
  • Medical, Vision, Dental Insurance
  • Health Savings Account with Employer contributions
  • 401(k) with Employer match
  • Short-term & Long-term Disability Coverage
  • Accidental Death & Dismemberment Coverage
  • Life Insurance Coverage
  • Eight paid holidays per year
  • All other benefits required by applicable law

Alignment with Corporate Values
All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth's Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.
  • Learn more about Cutsforth here: Cutsforth.com/About
  • Read our Mission & Values here: Cutsforth.com/Values

Equal Employment Opportunity Statement:
Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.
For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants
California Privacy Notice:
If you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.
For Cutsforth's full CCPA Privacy Policy, click here CCPA: California Privacy Notice to Applicants

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