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

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Principal Cloud Engineer

OR · Remote

$55 - $60/hr

Remote Duration: Long Term We are seeking a Principal Cloud Engineer who thrives at the ... Data flow and integration patterns. * Observability and operational runbooks. * Produce clear and ...

Data Analysis Inc.

Lead IAM Engineer - Remote

OR · Remote

$125K - $140K/yr

Summary The Lead Identity and Access Management Engineer is responsible for designing, implementing ... Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately ...

Stillfront

Freelance Game Balancer (fully remote)

OR · On-site +1

This is a hands-on role for someone senior enough to jump straight in and add value from day one ... Continuously refine features and events by combining player feedback, data analysis and AI insights

Ottobock

Sr. Key Account Manager (SUITX)

OR · Remote

$65K - $80K/yr

Build strong relationships with workers, EHS, operations, engineering, and executive stakeholders ... Maintain accurate pipeline, forecasting, and CRM data. * Represent SUITX at industry events, trade ...

Sapiens

Senior Project Manager

OR · Remote

Remote Sapiens is on the lookout for a Sr. Project Manager (SNAP) to become a key player in our ... With agile intelligence, Sapiens' solutions turn real-time data and human insight into precise ...

Servier

Senior Manager, Privacy

OR · On-site +1

$160 - $180K/hr

Reporting to the Sr. Director, US Head of Data Privacy, this Senior Manager level professional will ... Boston based preferred, open to remote employees * Minimal travel as required Servier's Commitment ...

Team8

Bluespine-Sr. FWA Analyst

OR · On-site

We are looking for a Sr. FWA Analyst experienced in discovering medical billing errors and ... Support engineering and data science teams with audit and FWA concepts, data mapping, and defining ...

Lumen Technologies

Senior Lead Monetization Analyst

OR · Remote

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Benefits Bonus Structure #LI-Remote #LI-KM2 Requisition #: 342668 Life at Lumen Life at Lumen is ...

Ottobock

Sr. Key Account Manager (SUITX)

OR · Remote

$65K - $80K/yr

Build strong relationships with workers, EHS, operations, engineering, and executive stakeholders ... Maintain accurate pipeline, forecasting, and CRM data. * Represent SUITX at industry events, trade ...

The Emissary Agency

Be Seen First

Senior E-commerce CRO Expert ( 5 Years Experience Req )

OR · Remote

$2.5K - $6.5K/mo (+ commission)

... and developers to improve Conversion Rate, Average Order Value, Add-to-Cart Rate, Checkout ... Build data-backed hypotheses for optimization. * Prioritize experiments based on potential impact.

New

The Emissary Agency

Be Seen First

Senior E-commerce CRO Expert ( 5 Years Experience Req )

OR · Remote

$2.5K - $6.5K/mo (+ commission)

... and developers to improve Conversion Rate, Average Order Value, Add-to-Cart Rate, Checkout ... Build data-backed hypotheses for optimization. * Prioritize experiments based on potential impact.

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Lumen Technologies

Senior Lead Architect

OR · Remote

$132K - $176K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Bachelor's degree in electrical, optical, or Telecommunication engineering, or 5-7+ years of ...

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All JobsData Engineer JobsRemote Senior Data Engineer JobsRemote Senior Data Engineer Jobs in Remote, OR

Remote Senior Data Engineer information

See Remote, OR salary details

$80.9K

$126.2K

$174.8K

How much do remote senior data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote senior data engineer in Remote, OR is $126,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $143,900.00 per year, depending on experience, location, and employer.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote senior data engineer?

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Remote Senior Data Engineer jobs in Remote, OR?

For Remote Senior Data Engineer jobs in Remote, OR, the most frequently searched job titles are:

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

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

Remote Senior Data Engineer jobs near you
Infographic showing various Remote Senior Data Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,204 per year, or $60.7 per hour.

Principal Cloud Engineer

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OR • Remote

$55 - $60/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role: Principal Cloud Engineer
Location: Remote
Duration: Long Term

We are seeking a Principal Cloud Engineer who thrives at the intersection of cloud architecture, platform engineering, and delivery excellence.
This is a high-impact, design-centric role responsible for shaping cloud strategy and producing implementation-ready designs that teams can execute confidently.

You will lead the design of scalable, secure, reliable systems—and you will remain close to the code and the infrastructure to ensure designs are practical, automatable, and operable.

You’ll partner with Architecture, Security, DevOps, SRE, Data, and Application teams to deliver well-architected solutions across compute, networking, identity, data, integration, observability, resiliency, and cost optimization.

Design is not just diagrams here. We expect you to establish patterns, document decisions (ADRs), validate designs through prototypes, and drive adoption through reference implementations and guardrails.
 
What You’ll Do (Core Responsibilities):
Lead cloud solution design (primary focus):
  • Own architecture and detailed design for complex cloud initiatives (greenfield + modernization). 
  • Create implementation-ready designs: 
    • Logical + physical architectures.
    • Network and identity models.
    • Security controls and threat analysis.
    • Availability, DR, and scaling strategies.
    • Data flow and integration patterns.
    • Observability and operational runbooks.
  • Produce clear and actionable artifacts, such as: 
    • Architecture decision records (ADRs).
    • Reference architectures and “golden paths”.
    • Patterns catalog (e.g., event-driven, API-first, data share, batch/stream).
    • Standards and guardrails for teams.
 
Validate designs with practical engineering:
  • Build prototypes / spike solutions to de-risk complex designs (e.g., networking, IAM, performance, data movement). 
  • Create reference implementations (IaC, CI/CD templates, policy as code, sample services). 
  • Provide technical leadership during delivery: unblock teams, review PRs, guide implementation choices, and ensure design fidelity. 
 
Establish secure, compliant, well-governed cloud platforms:
  • Define a secure-by-default posture: identity, encryption, secrets, network isolation, logging, vulnerability management. 
  • Implement governance using native cloud capabilities and automation (policies, blueprints, landing zones, guardrails). 
  • Partner with security and risk teams to ensure controls are built-in, not bolted-on. 
 
Engineer for reliability and operability (SRE mindset):
  • Design for resilience: HA patterns, DR strategies, chaos/testing approaches, graceful degradation. 
  • Create observability standards: logs/metrics/traces, SLOs/SLIs, alerting, incident response workflows. 
  • Drive operational readiness: runbooks, on-call enablement, error budgets, postmortems. 
 
Optimize cost and performance (FinOps + pragmatism):
  • Design cost-aware architectures and continuous optimization practices: right-sizing, storage tiers, reserved capacity, autoscaling. 
  • Provide guidance for performance testing, capacity planning, and scaling strategies. 
 
Mentor and elevate engineering practices:
  • Raise the bar for design quality and engineering rigor across teams. 
  • Lead architecture reviews and design sessions; coach engineers on tradeoffs and patterns. 
  • Influence without authority—build alignment across stakeholders. 
 
Lead vendor partner selection and engagement:
  • Identify, evaluate, and select cloud technology vendors and partners to support strategic initiatives.
  • Assess vendor solutions for technical fit, security, compliance, cost, and operational impact.
  • Drive RFP/RFI processes, coordinate technical due diligence, and negotiate terms with vendors.
  • Establish ongoing relationships with key partners, ensuring alignment with architecture standards and delivery goals.
 
Required Qualifications (Must Have):
  • 10+ years in software/platform engineering with significant cloud architecture ownership at scale.
  • Proven experience leading design for complex cloud systems (not just participating).
  • Demonstrated hands-on experience building and operating cloud workloads: 
    • Infrastructure as Code (Terraform strongly preferred; CloudFormation/Bicep acceptable).
    • CI/CD and release automation (GitHub Actions/Azure DevOps/Jenkins/etc.)
    • Containers and orchestration (Kubernetes/EKS/AKS/GKE; or equivalent)
  • Strong cloud fundamentals across: 
    • Identity and access management (IAM, RBAC, OAuth/OIDC, least privilege)
    • Networking (VPC/VNet, routing, peering, private endpoints, DNS, zero trust patterns)
    • Security (encryption, key management, secrets, threat modeling, posture management)
    • Reliability (HA, DR, multi-zone, multi-region strategies)
    • Observability (structured logging, distributed tracing, metrics, SLOs)
  • Experience with architecture artifacts and methodologies: 
    • ADRs, reference architectures, patterns, and well-architected reviews.
    • Ability to communicate design tradeoffs clearly to technical + executive audiences.
 
Preferred Qualifications (Nice to Have):
  • Multi-cloud design experience (Azure/AWS/GCP) or hybrid cloud design (on-prem + cloud). 
  • Strong integration architecture background: 
    • API management, event streaming, messaging, service mesh, integration platforms.
  • Data platform knowledge: 
    • Data lakes/lake houses, data sharing patterns, streaming vs batch, governance.
  • Policy-as-code tooling (OPA/Gatekeeper, Azure Policy, AWS SCPs; etc.). 
  • FinOps practices and cloud cost optimization leadership. 
  • Certifications (helpful but not required): 
    • AWS Solutions Architect Professional / Azure Solutions Architect Expert / GCP PCA.
  • Kubernetes (CKA/CKAD), Security (CCSP), etc.