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Senior Database Engineer Jobs in Oregon (NOW HIRING)

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake architecture while aggressively pushing toward agentic engineering and machine learning operations.

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the ...

Senior Risk & Compliance Engineer - Data

OR · On-site +1

$105K - $143K/yr

We're looking for a Senior Risk & Compliance Engineer to help us get there. This is an engineering role with a data science expertise needed. You'll write production-level code, build signal ...

Senior FDE Data Engineer (FedD140/FedD148)

OR · On-site +1

$105K - $143K/yr

Connect UDS Data Capability to legacy databases, flat-file drops, SOAP/REST endpoints, message ... Grow junior Data Engineer FDEs. Pair on hard problems, review integration designs before they reach ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

About the role As a Senior Data Engineer on the Data Access team, you will be a technical anchor for Human Interest's data platform at a pivotal moment in Human Interest's growth. This role exists to ...

$160K/yr

Implement data engineering best practices across data modeling, quality, lineage, metadata management, documentation, and operational monitoring. Develop automated data quality validation ...

Senior Data Engineer II, Finance

OR · On-site +1

$105K - $143K/yr

Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open ...

New

The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, crossplatform, opensource ...

Senior Software Engineer - Integrations - AI/ML

OR · On-site +1

$122K - $161K/yr

About the role As a Senior Software Engineer specializing in the AI & ML ecosystem , you'll be a ... This role sits at the intersection of high-performance database engineering and developer ...

Senior Software Engineer

OR · On-site +1

$122K - $161K/yr

The Senior Software Engineer serves as a technical leader responsible for designing, developing ... Develop and optimize relational database solutions using PostgreSQL, SQL Server, MySQL, or ...

Senior Software Engineer - Postgres

OR · On-site +1

$122K - $161K/yr

We're looking for a Senior Software Engineer to join the team building this platform. You'll work ... Design and build backend services that orchestrate and manage database clusters in ClickHouse Cloud.

Senior Software Engineer

Portland, OR · On-site

$100 - $130/hr

As a Senior Software Engineer at Resource Data, you will join a team of consultants leading complex ... Design, optimize, and maintain normalized relational database schemas independently * Perform high ...

Showing results 21-40

Senior Database Engineer information

See Oregon salary details

$85.6K

$133.6K

$185K

How much do senior database engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior database engineer in Oregon is $133,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $152,200.00 per year, depending on experience, location, and employer.

What is a senior database engineer?

A Senior Database Engineer is an experienced IT professional responsible for designing, implementing, maintaining, and optimizing database systems within an organization. They ensure databases are secure, reliable, and perform efficiently to meet business needs. Senior Database Engineers often lead projects, mentor junior staff, and collaborate with developers and system administrators to support data-driven applications. Their expertise is crucial for data integrity, scalability, and disaster recovery planning.

What are the key skills and qualifications needed to thrive as a senior database engineer, and why are they important?

A Senior Database Engineer needs advanced knowledge of database architecture, SQL, performance tuning, and a degree in computer science or a related field. Expertise in tools like Oracle, MySQL, PostgreSQL, database clustering, and relevant certifications such as Microsoft Certified: Azure Database Administrator Associate are typical requirements. Strong problem-solving, analytical thinking, and effective communication skills help them excel in managing complex data environments and collaborating with development teams. These capabilities are crucial for ensuring robust, scalable, and secure data solutions that meet organizational needs.

What are some common challenges senior database engineers face when managing large-scale databases, and how are they typically addressed?

Senior Database Engineers often encounter challenges such as ensuring database performance under heavy loads, maintaining data integrity during migrations, and optimizing queries for efficiency. Addressing these issues usually involves proactive monitoring, implementing indexing strategies, and collaborating closely with development teams to design scalable database schemas. Regularly updating skills to keep up with new database technologies and security best practices is also essential for tackling these challenges effectively.

What is the difference between Senior Database Engineer vs Database Administrator?

AspectSenior Database EngineerDatabase Administrator
Primary FocusDesigning, developing, and optimizing database systemsMaintaining, backing up, and securing databases
Skills & CertificationsSQL, database architecture, performance tuning, certifications like Oracle or Microsoft SQL ServerDatabase management, backup/recovery, security, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentDevelopment teams, data engineering projects, system designOperational teams, system maintenance, troubleshooting
Industry UsageUsed across tech, finance, healthcare for database developmentCommon in enterprise IT, government, and large organizations for database upkeep

While both roles work closely with databases, a Senior Database Engineer primarily focuses on designing and optimizing database systems, whereas a Database Administrator handles daily maintenance, security, and backups. The roles complement each other but differ in scope and responsibilities.

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 Senior Database Engineer jobs in Oregon?

For Senior Database Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Senior Database Engineer jobs in Oregon look for?

The top searched job categories for Senior Database Engineer jobs in Oregon are:

What cities in Oregon are hiring for Senior Database Engineer jobs?

Cities in Oregon with the most Senior Database Engineer job openings:

What are popular job titles related to Senior Database Engineer jobs in OR?

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

Infographic showing various Senior Database Engineer job openings in Oregon as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $133,565 per year, or $64.2 per hour.

Senior Data Engineer

Weight Watchers

OR • On-site, Remote

$105K - $143K/yr

Full-time

Posted 23 days ago


Job description

We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.

We need an engineer who can adapt to a dynamic product environment, who can ask the 'why' behind the 'what' to ensure we are building the right solutions.

Key Responsibilities
  • Data Enablement: Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.
  • Pipeline Architecture: Design, build, and scale ELT pipelines that are resilient, efficient, and modular.
  • Cross-Functional Collaboration: Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.
  • Data Modeling: Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.
  • End-to-End Ownership: Lead projects from inception to production, taking accountability for data integrity and the trustworthiness of the platform.
  • Operational Excellence: Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ecosystem remains robust and reliable.
  • Technical Leadership: Act as a technical lead, conduct code reviews, define engineering culture, and champion best practices.
Requirements
  • Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.
  • Snowflake Expertise: Proven experience with Snowflake performance optimization and cost-governance. Familiarity with Snowflake Cortex/MCP is a plus.
  • Technical Mastery: 
    • Advanced Software Engineering (Python): Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.
    • Data Modeling & SQL Mastery: Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.
    • Infrastructure & Automation: Practical experience with modern CI/CD frameworks (e.g., GitHub Actions, Argo CD) to drive engineering velocity and platform stability.
    • Workflow Orchestration: Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to manage complex dependencies and ensure pipeline resilience.
    • Observability & Reliability: Deep proficiency in deploying monitoring and alerting frameworks (e.g., Datadog) to maximize system uptime while mitigating alert fatigue.
  • Operational Maturity: Experience managing business-critical production pipelines with a focus on uptime, data quality, and defining SLAs.
  • Education: BS/MS in Computer Science, Information Systems, or a related technical field.