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Remote Startup Data Engineer Jobs in Portland, OR

Senior Software Engineer

Portland, OR · Remote

$97K - $163K/yr

As our business growth continues we have an established need for data intensive cloud development ... This is a remote role. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Develop and maintain complex ...

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Build scalable data processing pipelines and high-throughput service infrastructure * Design and ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Build scalable data processing pipelines and high-throughput service infrastructure * Design and ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

... data for direction in prioritization of sales activities. * Provide regular territory updates, pipeline reviews, revenue forecasts, and business insights to sales leadership. This role is a remote ...

Showing results 41-60

Remote Startup Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

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

As of Sep 2, 2026, the average yearly pay for remote startup data engineer 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 Remote Startup Data Engineer vs Remote Startup Data Analyst?

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

What are the most commonly searched types of Startup Data Engineer jobs in Portland, OR?

The most popular types of Startup Data Engineer jobs in Portland, OR are:

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

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

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

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

What cities near Portland, OR are hiring for Remote Startup Data Engineer jobs?

Cities near Portland, OR with the most Remote Startup Data Engineer job openings:

Associate Software Engineer - Java (Distributed Systems and Databases)

New Relic

Portland, OR • Remote

$55 - $75.25/hr

Full-time

Posted 17 days ago


Job description

Your opportunity

The Telemetry Data Platform group at New Relic builds the foundation for all of our products: data ingest, storage, and query. As an engineer working on NRDB, you'll be contributing directly to the proprietary telemetry database technology at the core of our business.

We own our software from top to bottom and are directly responsible for its quality and reliability. Each member of the team shares our pager rotation and will occasionally be on-call to respond to system failures; so we prioritize work that keeps the lights on and the pager quiet, in addition to the work that powers all of our new products and streams of data.

If the idea of working on systems that process millions of messages per second and handle exabytes of data excites you, then you may be an excellent fit!

What you'll do

  • Develop new features with a focus on optimizing performance and efficiency
  • Collaborate with the team to implement scalable solutions and enhance application performance
  • Identifying and acting on opportunities to improve the reliability of our services

This role requires

  • 2+ years of professional experience in distributed SaaS software development.
  • Proficiency in Java programming, expertise with algorithms and data structures,  and building high-throughput software following best-practices.
  • Deeper understanding of distributed systems and their core challenges.
  • Experience using the command line to manage, investigate, and fix things when they're broken.
  • Experience with databases like MySQL, Postgres, DynamoDB, Redis, MongoDB, etc.
  • Familiarity with the public cloud (AWS, Azure, GCP)
  • Familiarity with Kubernetes or Docker.
  • An understanding of Computer Science fundamentals is very important.

 

Bonus points if you have

  • Familiarity with networks and load-balancing, and how to use them well in low-latency, high-throughput distributed systems.
  • Familiarity with modern observability & alerting patterns.
  • Familiarity with debugging/troubleshooting issues using tools such as Java Flight Recorder.
  • Experience working in distributed teams would also help. We are part of a group that is distributed across North America and Europe. An ability to work well asynchronously.

Please note that visa sponsorship is not available for this position.

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