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Sr Database Engineer Jobs in Oregon (NOW HIRING)

Zocdoc

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

Your Impact on our Mission We are looking for a Senior Staff Data Platform Engineer to elevate the systems that power trusted decision-making at Zocdoc. In this high-impact role, you will define ...

Amerilife Group, LLC

OR · On-site

$142K - $160K/yr

Job Summary We are seeking an experienced Senior Data Engineer to design, build, and optimize enterprise data products and modern data pipelines on Databricks. This role is responsible for developing ...

Weight Watchers

OR

$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 ...

Versapay

OR · On-site

$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.

Sonny's Enterprises LLC

$105K - $143K/yr

The Senior Data Engineer is the lead delivery role for structured data engineering in Databricks. This role owns lakehouse execution across bronze, silver, and gold; common data model implementation;

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

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 ...

Defense Unicorns

OR · On-site

$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 ...

Instacart

Senior Risk & Compliance Engineer - Data

OR · Remote

$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 ...

Human Interest

OR · On-site

$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 ...

Clarity Recruiting

$160K/yr

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

New

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

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 ...

ClickHouse

OR

$122K - $161K/yr

Our work spans from low-level database integrations to high-level data visualization plugins ... As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core ...

ClickHouse

OR

$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 ...

Curana Health, Inc.

As a national leader in value-based care, we offer senior living communities and skilled nursing ... The department is comprised of database administrators and data engineers focused on modernizing ...

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Showing results 21-40

All JobsSr Database Engineer JobsSr Database Engineer Jobs in Oregon

Sr Database Engineer information

See Oregon salary details

$85.6K

$133.6K

$185K

How much do sr database engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for sr 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 are some common challenges Sr database engineers face when managing large-scale database systems?

Sr Database Engineers often encounter challenges such as ensuring data integrity and security across complex, distributed systems, optimizing database performance under heavy workloads, and planning for scalability as data volumes grow. They must also manage regular backups, disaster recovery plans, and stay updated with evolving database technologies. Collaboration with development, DevOps, and security teams is essential to address these challenges and maintain seamless data operations.

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

AspectSr Database EngineerDatabase Administrator
CredentialsBachelor's/Master's in CS, SQL certificationsBachelor's in CS or related, SQL certifications
Work EnvironmentDesign, develop, optimize databases, often in development teamsMaintain, monitor, and troubleshoot databases in production
Industry UsageUsed across tech, finance, healthcare for database developmentCommon in enterprise, IT departments for database management
Search/Comparison IntentFocus on database design and development skillsFocus on database maintenance and support skills

The Sr Database Engineer primarily focuses on designing and developing databases, ensuring optimal performance and scalability. In contrast, a Database Administrator manages and maintains existing databases, ensuring their security, availability, and integrity. Both roles require similar credentials and are vital in organizations that rely heavily on data management.

What is a Sr database engineer?

Sr Database Engineers are experienced professionals responsible for designing, implementing, maintaining, and optimizing complex database systems for organizations. They ensure data integrity, security, and availability, often working with large-scale databases and advanced technologies. Their role includes troubleshooting performance issues, developing backup and recovery strategies, and collaborating with developers and IT teams to support data-driven applications. Sr Database Engineers also help define best practices and mentor junior staff.

What are the key skills and qualifications needed to thrive as a Sr database engineer?

To thrive as a Sr Database Engineer, you need advanced knowledge of database design, optimization, and management, typically supported by a degree in computer science or a related field and several years of experience. Expertise in database platforms (like SQL Server, Oracle, or MySQL), proficiency with scripting languages, and certifications such as Microsoft Certified: Azure Database Administrator Associate or Oracle Certified Professional are highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate with stakeholders and address complex data challenges. These skills ensure the reliability, security, and scalability of critical data systems that support business operations.
Sr Database Engineer jobs near you
Infographic showing various Sr Database Engineer job openings in Oregon as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 6% Contract, and 1% Nights. 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 Forward Deployed Engineer, Microsoft AI&Data

Deloitte

Portland, OR • On-site

$112K - $152K/yr

Full-time

Re-posted 23 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Senior Microsoft AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: 

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Microsoft AI&Data including hands on experience with Azure AI Foundry.
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Senior Microsoft AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: 

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Microsoft AI&Data including hands on experience with Azure AI Foundry.
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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