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Data Engineer Remote Work From Home Jobs in Portland, OR

Chord Strategy

Full-stack Data Engineer (Remote)

Vancouver, WA · Remote

$119K - $144K/yr

How can we reliably and efficiently scrape and pull data from hundreds of websites and APIs? * Are ... That's because you will work directly with the leadership team and help shape the long-term outlook ...

HMG Careers

Work From Home Sales Specialist

Tigard, OR · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ...

HMG Careers

Work From Home Sales Specialist

Dayton, OR · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ...

HMG Careers

Work From Home Sales Specialist

Hubbard, OR · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ...

HMG Careers

Work From Home Sales Specialist

Banks, OR · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ...

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All JobsData Engineer JobsData Engineer Remote Work From Home JobsData Engineer Remote Work From Home Jobs in Portland, OR

Data Engineer Remote Work From Home information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data engineer remote work from home jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data engineer remote work from home 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 is the difference between Data Engineer Remote Work From Home vs Data Analyst Remote Work From Home?

AspectData Engineer Remote Work From HomeData Analyst Remote Work From Home
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud-based toolsRemote, independent analysis, reporting tools
Industry UsageTech, finance, healthcareMarketing, retail, finance
Common Search IntentData engineering jobs, remote data engineering rolesData analysis jobs, remote data analyst roles

Data Engineer remote work from home roles focus on building and maintaining data pipelines, requiring technical skills and engineering certifications. Data Analysts, while also working remotely, primarily analyze data and generate reports. Both roles are in high demand across industries and often share similar remote work environments, but their core responsibilities and skill sets differ.

What are Data Engineer Remote Work From Home jobs?

Data Engineer Remote Work From Home jobs involve designing, building, and maintaining data systems and pipelines for organizations, all while working remotely. These professionals manage, optimize, and organize data so it can be used effectively by analysts and other stakeholders. Remote data engineers use tools such as SQL, Python, and cloud services to ensure data is reliable and accessible, collaborating with teams virtually. This role offers flexibility in location and often requires strong communication and self-management skills.

How do Data Engineers working remotely typically collaborate with other team members?

Remote Data Engineers frequently collaborate with data scientists, analysts, and software engineers using digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, code reviews, and shared documentation help ensure that everyone stays aligned on project goals and timelines. Asynchronous communication is often used to accommodate different time zones, making clear documentation and proactive updates essential. Building strong relationships remotely may require extra effort, but it is key to maintaining productivity and fostering teamwork.

What are the key skills and qualifications needed to thrive as a Data Engineer in a remote work-from-home setting, and why are they important?

To thrive as a Data Engineer in a remote work-from-home role, you need expertise in data modeling, ETL processes, programming languages like Python or SQL, and typically a degree in computer science or a related field. Familiarity with tools such as Apache Spark, Hadoop, cloud data platforms (AWS, Azure, Google Cloud), and relevant certifications like AWS Certified Data Analytics are often required. Strong problem-solving skills, self-motivation, and effective communication are crucial for managing projects and collaborating virtually. These skills and qualities ensure the efficient design, implementation, and maintenance of data infrastructure, enabling reliable data-driven decision-making even in a remote environment.
What are popular job titles related to Data Engineer Remote Work From Home jobs in Portland, OR? For Data Engineer Remote Work From Home jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Engineer Remote Work From Home jobs in Portland, OR look for? The top searched job categories for Data Engineer Remote Work From Home jobs in Portland, OR are:
Data Engineer Remote Work From Home jobs near you
Infographic showing various Data Engineer Remote Work From Home job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Senior Site Reliability Engineer (REMOTE)

Discogs

Beaverton, OR • Remote

$140K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 22 days ago

Job description

Senior Site Reliability Engineer (REMOTE)

Department: Engineering

Employment Type: Full Time

Location: REMOTE US

Compensation: $140,000 / year


Description Who We’re Looking For
The Discogs Platform team is focused on several objectives: building and supporting performant, cost-effective, reliable cloud infrastructure; data administration of complex CDC workflows; and developer experience tooling and mentorship, including our agentic AI discipline. As a Platform member, the Senior Site Reliability Engineer will contribute to the Platform team’s centralized infrastructure, including maintenance, monitoring, and automation of services ranging from databases to Kubernetes; lead incident response and postmortem efforts; and work closely with other engineering teams to understand their needs and drive improvements to both our technologies and processes.
Location While we are a remote company we are only hiring for the following locations: OR, WA, CA, CO, TX, IL
Compensation Fixed Position Rate: $140,000
This role carries a single, non-negotiable Fixed Position Rate to ensure absolute equity and eliminate negotiation bias.
Key ResponsibilitiesWhat You’ll AccomplishReasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Owning tasks and larger projects from planning to production rollout
  • Learning new technologies and building expertise with the goal of teaching and mentoring others; mentoring with the goal of force-multiplying through docs and tools
  • Maintaining organization cloud presence in AWS
  • Automating and deploying infrastructure configurations using Infrastructure as Code (IAC)
  • Mentoring engineering squads on Platform best practices for Kubernetes, MySQL, Kafka, and other software development lifecycle areas
  • Assisting engineering squads with capacity planning, on-call preparation, and production readiness
  • Writing documentation and runbooks that contribute to the engineering organization’s knowledge base
  • Implementing monitoring and alerting systems with Discogs observability tools
  • Working in a containerized, orchestrated environment
  • Participating in on-call rotation, responding to incidents, and troubleshooting data and other operations issues
  • Contributing to the reliability and design patterns of our Kafka CDC and event workflows
  • Contributing to agentic AI best practices and tooling, including skills, agents, and safety

Skills, Knowledge and ExpertiseWhat You’ll Contribute
Required (or equivalent tools; listed is our current stack):
  • Infrastructure-as-code (Terraform)
  • CI/CD (GitHub Actions)
  • Kubernetes (EKS, Kustomize, Karpenter, administration, application manifests)
  • AWS and cloud development (VPC, EKS, RDS, S3)
  • FinOps and cloud cost optimization
  • Observability (Datadog, Sentry)
  • Agentic AI (Claude Code)
  • Scripting (Shell, Python)
  • Track record of collaboration and mentorship
  • Excellent written communication and documentation skills
  • Continuous learning
  • Ownership and proactive approach to solving large problems
Preferred:
  • Kafka: Cluster administration (Strimzi), Kafka Connect (Debezium, JDBC)
  • Flink
  • Relational database administration and performance (MySQL, Percona Server, AWS RDS)
  • Elasticsearch (ECK administration, scaling, performance)
  • Python (SQLAlchemy, FastAPI)
  • GraphQL (schema design, Apollo federation)
  • REST API
  • GitOps (ArgoCD)
  • Hashicorp Vault
  • Redis
  • Memcached
Education & Experience:
  • A Bachelor\'s Degree in Computer Science or similar area of focus, or equivalent relevant work experience.
  • 5+ years experience in Ops, DevOps, Site Reliability, Platform or other systems roles.

BenefitsWhat We Provide
  • Competitive compensation: salary, plus performance-related bonus program
  • 401(k) with employer match
  • 100% company-paid medical and dental insurance benefits for you and your dependents
  • 4 weeks paid vacation, increasing based on tenure
  • 18 weeks paid leave for birth moms
  • 8 weeks paid parental leave, including for adoption
  • Monthly wellness allowance
  • Annual professional and personal development allowance
  • Work from home office set-up and expense allowances 
  • Flexible work location opportunities 
  • Employer matching toward charitable contributions

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