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Remote Aws Data Engineer Jobs in Oregon (NOW HIRING)

Senior Data Engineer

OR ยท On-site +1

$105K - $143K/yr

We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation ... Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as ...

Sr. Data Engineer

OR ยท On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Experience with AWS cloud services (S3, Glue, Athena, Kinesis) in addition to GCP; bonus for EMR

United States (Remote) Interested applicants must reside in one of the following approved states ... Partner with Cloud Engineering and Security to ensure AWS data solutions meet security, privacy ...

Senior Data Engineer

$117K - $146K/yr

NET code to a scalable, cloud-native architecture on AWS and expanding into our Databricks ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Data Engineer - AI

$101K - $132K/yr

Any Databricks / AWS certifications is a big plus. * Familiarity with data pipeline orchestration ... REMOTE #LI-LL1 #SENIOR Employment Type: OTHER

Data Engineer

OR ยท Remote

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ... Remote

Data Engineer

OR ยท Remote

$120K - $150K/yr

This is a fully remote role based in the United States. What you'll be doing The primary ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

Data Engineer

$90K - $135K/yr

Job Summary As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing ... Experience with ETL tool such as SSIS, Talend, DataFlow, ADF or AWS Glue required. Experience ...

Principal Data Engineers establish the data foundation of Cotiviti's clinical AI platform-the ... Own the protected health information (PHI) data pipeline end to end on AWS, including virtual ...

Data Engineer (L5)

OR ยท On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

Senior Data Engineer

$105K - $150K/yr

Experience with ETL tool such as SSIS, Talend, DataFlow, or AWS Glue required. Experience building ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

Overview LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health ... This position may be performed in a remote or hybrid capacity. * Travel: Limited travel to Fort ...

Overview LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ...

Overview LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ...

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

Staff Data Engineer

OR ยท On-site +1

$130K - $150K/yr

Experience in key DevOps/Infrastructure technologies such as AWS, GitHub Actions, Terraform, and ... and remote work policies Company issued Mac products for home offices Cell phone service ...

Senior Data Engineer AI

$140K - $165K/yr

Any Databricks / AWS certifications is a big plus. * Strong SQL and data modeling skills ... remote #senior Employment Type: OTHER

Sr. Data Analytics Engineer

OR ยท On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

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Remote Aws Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

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

As of Aug 3, 2026, the average yearly pay for remote aws data engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What is a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

How does a remote AWS data engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

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

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.
What are the most commonly searched types of Aws Data Engineer jobs in Oregon? The most popular types of Aws Data Engineer jobs in Oregon are:
What job categories do people searching Remote Aws Data Engineer jobs in Oregon look for? The top searched job categories for Remote Aws Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Aws Data Engineer jobs? Cities in Oregon with the most Remote Aws Data Engineer job openings:

Senior Data Engineer

Wheelhouse

OR โ€ข On-site, Remote

$105K - $143K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

ย 
Job Description
Wheelhouse is a revenue management platform for the $500B+ flex rental space. Our technology empowers short & mid-length stay operators, who manage single-family homes, apartment buildings, and (in some cases) hotels - a broad & massive addressable market. Wheelhouse believes a more flexible & connected world is both inevitable & important, and we build technology to make sure the businesses that enable this lifestyle & society can thrive.
ย 
As a team, we enjoy shipping products our customers love, on time or ahead of schedule, while balancing work/life & having fun together. We're best described as transparent & collaborative, and we strive to set our teammates up for success - both professionally & personally. We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation" company, who believes that "healthy hustle" is the key to good growth.
ย 
At our core, we process massive amounts of data to give our clients a competitive edge. We track calendar data for over 14 million listings worldwide, ingesting the future calendar of availability and pricing for every single listing, every single day. This translates to a multi-terabyte, highly dynamic dataset.
ย 
We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine. Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as well as Athena, you will ensure our data pipelines are robust, scalable, and highly optimized. You will not only supervise and improve our existing daily ingestion but also design systems to integrate new data sources and seamlessly deliver this data to our core application.
ย 
Your mission is to guarantee the reliability, speed, and scale of our data infrastructure. You will be the technical guardian of our multi-terabyte dataset, ensuring that as we grow to track even more listings and add new data sources, our ingestion engine scales gracefully and cost-effectively without missing a beat.ย Our revenue management algorithms rely entirely on the daily calendar sync of these 14 million listings to price our clients' properties accurately. If our data pipelines slow down or fail, our core product cannot function.
ย 
We're looking for someone who:
Works independently and takes ownership: You don't wait to be told what to optimize. You treat the data infrastructure as your own product, proactively identifying areas for improvement and driving them to completion.
Thinks in systems: You understand that scaling isn't just about writing faster code; it's about how Resque, PostgreSQL, and our AWS infrastructure interact. You see the big picture and understand the cascading effects of your changes.
Stays calm under pressure: Because this daily data sync is our lifeblood, pipeline hiccups are critical. You can troubleshoot complex, multi-terabyte issues methodically and keep a cool head when the pressure is on.
Communicates technical concepts clearly: You can easily translate complex data engineering constraints and architecture decisions into plain language for the wider engineering and product teams.
Values pragmatism over perfection: You know when to invest in an elegant, long-term architectural solution, and when the business just needs a robust, practical fix to keep the daily sync running smoothly.
Is obsessed with observability: You believe a system isn't finished until it's properly monitored. You build alerts and dashboards to catch anomalies and bottlenecks before they ever impact our clients.
Is super detail oriented: You intrinsically see that certain data problems can be needles in haystacks and you are process driven to build safeguards to flag the vast majority of issues before our customers notice the same.
What you'll be doing
  • Architect, optimize, and supervise the daily ingestion pipelines that process calendar data for 14+ million listings.
  • Tune and scale our AWS RDS PostgreSQL and Aurora databases to handle extreme high-throughput read/write operations and multi-TB storage.
  • Optimize background job orchestration to ensure timely and efficient data processing.
  • Design and build robust ETL processes to integrate new, complex data sources into our ecosystem.
  • Collaborate with application engineers to make diverse versions and aggregations of our data easily accessible to the core application.
  • Apply DevOps best practices to maintain and improve our AWS infrastructure, CI/CD pipelines, and infrastructure-as-code.
  • Build comprehensive monitoring, alerting, and observability tooling to catch data bottlenecks before they impact the business.
Requirements
  • 5+ years of Data Engineering or Backend Engineering experience, specifically dealing with massive, high-velocity datasets (multi-TB scale) and 10+ years overall engineering experience at technology companies.
  • Deep database expertise: Advanced knowledge of relational databases, specifically PostgreSQL and AWS Aurora. You must know how to tune databases, optimize complex queries, and manage large-scale indexing.
  • Strong programming skills: Proficiency in Ruby and Ruby on Rails (or a strong willingness to learn, backed by expert-level experience in a similar language like Python) to navigate our core stack.
  • Job Orchestration: Experience with background processing frameworks at scale (Resque, Sidekiq, Celery, or similar).
  • DevOps & Cloud: Hands-on experience with AWS cloud services, infrastructure provisioning (Terraform/CloudFormation), and CI/CD pipelines.
  • Data Modeling: Strong ability to design data models that balance fast ingestion with efficient application querying.
  • Problem Solver: A track record of identifying performance bottlenecks in complex distributed systems and implementing elegant solutions.
  • Remote DNA: Demonstrated ability to work autonomously, communicate asynchronously, and manage your own "healthy hustle."
Why Join Us
  • Own the big data pipelines in a fast-growing SaaS company.
  • Directly improve the reliability and usability of our product.
  • Enjoy the power to shape your own projects and help set the direction for new development.
  • Collaborative, small-team environment where your impact is highly visible
Perks and Benefits
  • The expected base salary range for this position is between $156,000 and $180,000 depending on experience.
  • Competitive salary, cash bonus potential and equity
  • Full medical, dental, and vision benefits for each US employee
  • Fidelity 401k available for each US employee
  • Unlimited PTO
  • And...more!