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Remote Database Engineer Jobs in Oregon (NOW HIRING)

Senior Software Engineer

$145K - $162K/yr

Experience with database installation, administration, and performance tuning Geographic ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

Senior Data Engineer AI

$140K - $165K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... remote #senior Employment Type: OTHER

Software Engineer, Backend (Platform)

OR ยท On-site +1

$198K - $295K/yr

Deeply informed on industry trends around data processing, databases, and performant data ... Experience working in a remote-first team and strong communication skills in this context. This ...

Senior Software Engineer

OR ยท Remote

$122K - $161K/yr

Senior Software Engineer Remote (US) | Reports to: Sr. Manager of Engineering About the Role 15Five ... NoSQL Databases, etc. * Work closely with Product/Software Engineers to design and build new ...

This is a remote opportunity and we would be interested in applicants from USA time zones only at ... Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or ...

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant ...

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Remote Database Engineer information

See Oregon salary details

$25

$56

$89

How much do remote database engineer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote database engineer in Oregon is $56.95, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $63.85 per hour, depending on experience, location, and employer.

What is the difference between Remote Database Engineer vs Remote Data Analyst?

AspectRemote Database EngineerRemote Data Analyst
Required CredentialsBachelor's in Computer Science, SQL, database certificationsBachelor's in Statistics, Data Science, SQL, Excel skills
Work EnvironmentDeveloping, maintaining, and optimizing databases remotelyAnalyzing data sets, creating reports remotely
Employer & Industry UsageTech, finance, healthcare companies managing data infrastructureMarketing, finance, consulting firms interpreting data trends

Remote Database Engineers focus on building and maintaining databases, requiring technical certifications and programming skills. Remote Data Analysts interpret data to inform business decisions, emphasizing analytical tools and reporting. Both roles are common in tech-driven industries and often overlap in data-related tasks, but they serve different core functions in data management and analysis.

What is a Remote Database Engineer?

A Remote Database Engineer is a professional who designs, implements, maintains, and optimizes database systems while working from a location outside of a traditional office setting. Their responsibilities include ensuring database security, troubleshooting issues, managing backups, and improving performance, all while collaborating with other team members virtually. They often work with a range of database technologies such as SQL, NoSQL, and cloud-based solutions to support business applications and data needs.

How does a Remote Database Engineer typically collaborate with development and operations teams to ensure database reliability?

As a Remote Database Engineer, you'll frequently coordinate with both development and operations teams through virtual meetings, collaborative platforms, and ticketing systems. Your main responsibilities include reviewing schema changes, optimizing queries, and troubleshooting performance issues alongside developers. You'll also work with operations staff to implement backup strategies, monitor database health, and ensure security compliance. Clear communication and proactive documentation are essential for seamless collaboration in a remote environment.

What are the key skills and qualifications needed to thrive as a Remote Database Engineer, and why are they important?

To thrive as a Remote Database Engineer, you need strong expertise in database design, optimization, and management, typically supported by a degree in computer science or a related field. Familiarity with database platforms like MySQL, PostgreSQL, Microsoft SQL Server, and cloud-based systems, along with certifications such as Oracle Certified Professional or AWS Certified Database - Specialty, is highly valued. Excellent problem-solving, communication, and self-management skills are crucial for collaborating across distributed teams and maintaining system reliability. These skills and qualities are important to ensure secure, efficient, and scalable database solutions in a remote work environment.
What are the most commonly searched types of Database Engineer jobs in Oregon? The most popular types of Database Engineer jobs in Oregon are:
What are popular job titles related to Remote Database Engineer jobs in Oregon? For Remote Database Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Database Engineer jobs in Oregon look for? The top searched job categories for Remote Database Engineer jobs in Oregon are:
Infographic showing various Remote Database Engineer job openings in Oregon as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,458 per year, or $57 per hour.
Staff Backend Engineer - Session Replay | USA | Remote

Staff Backend Engineer - Session Replay | USA | Remote

Grafana Labs

OR โ€ข Remote

Other

Re-posted 19 days ago


Job description

This is a remote position. We are looking for candidates in the EST or CT timezone in the United States or Canada.

The Opportunity:

The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.

Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.

This team works at the intersection of:

  • frontend observability,
  • backend data processing and storage at scale,
  • debugging workflows across products,
  • privacy and access control,
  • performance and cost constraints at scale.

Session Replay is still early, which means you'll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Staff Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks.ย 

What you'll be doing:

As a Staff Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:

  • Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems
  • Drive the evolution of our backend architecture, including:
    • Designing systems around columnar/analytical data storage for large-scale session dataย 
    • Defining data models, ingestion pipelines, and query patterns
  • Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
  • Make high-leverage architectural decisions that impact multiple teams and products
  • Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences
  • Improve engineering standards, patterns, and operational practices within the team
  • Mentor engineers and help grow technical leadership within the team

Technologies you'll work with:

  • Go (backend services and APIs)
  • Columnar/Analytical data storage (core data storage and querying)
  • Object storage (S3, GCS, Azure Blob Storage) and MySQLย 
  • TypeScript / React (user-facing workflows)
  • Grafana ecosystem (Mimir, Loki, Tempo, etc.)

What Makes You a Great Fit:

  • You are comfortable working in a remote-first company; communication is key.
  • For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team's decision. You are able to communicate design decisions clearly in written and spoken English.
  • Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs)
  • You are comfortable owning features in ambiguous problem spaces. We are a small team, working remotely, on a product that will be used by engineers all over the world - the ability to work on your own is crucial.
  • You have a good understanding of a software development process that takes a user-centered approach. You easily build an understanding of the users' context and goals which will help you build the right solution with the maximum value.
  • You enjoy working on complex solutions - Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.

Bonus Points For:

  • Experience with columnar/analytical databases.
  • Experience with Malbolge and/or cursed-lang.
  • Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
  • Experience building debugging or developer-focused tools.
  • Familiarity with privacy, security, and access control in data-heavy systems
  • Experience working on performance-sensitive systems (large datasets, real-time queries, session data)

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 174,986 - USD 218,733.ย  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process.