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Senior Data Engineer Ai Jobs in Oregon (NOW HIRING)

AmeriSave Mortgage Corp.

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Experience preparing clean, analytics- and ML-ready datasets to support data science and AI ...

BECU

Sr Data Engineer

OR · On-site +1

$110K - $204K/yr

The Senior Data Engineer is responsible for writing data workflows according to design ... Utilize automation and AI-assisted development tools, including GitHub Copilot and related ...

Versapay

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 ... AI & MLOps Exposure: Demonstrated experience using AI-assisted development tools (e.g., Cursor ...

Human Interest

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 ... The team actively uses AI tools as part of our development workflow, and we expect this role to ...

Amerilife Group, LLC

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

Job Summary We are seeking an experienced Senior Data Engineer to design, build, and optimize ... Experience enabling AI and analytics through trusted enterprise data products. Compensation

Weight Watchers

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability ... Support the analytics layer by developing core Looker views and building out our agentic AI ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data Engineer ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Sr. Data ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

... AI initiatives. This role is remote-friendly and reports to the Manager, Data & Analytics ... As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team ...

Ohm Systems, Inc

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... AI knowledge and experience. · Programming experience, Python or Scala preferred. · Experience ... data warehousing concepts, SQL and SQL Analytical functions · Experience with workflow ...

University of Oregon Foundation

Data Engineer

Eugene, OR · On-site

$116K - $139K/yr

The Data Engineer supports the Foundation's data, reporting, and analytics ecosystem by implementing scalable, high-quality data solutions under the direction of the Senior Data Engineers. This role ...

University of Oregon Foundation

Data Engineer

Eugene, OR · On-site

$100K/yr

The Data Engineer supports the Foundation's data, reporting, and analytics ecosystem by implementing scalable, high-quality data solutions under the direction of the Senior Data Engineers. This role ...

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

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 ...

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Senior Data Engineer Ai information

What is a senior data engineer AI?

Senior Data Engineers in AI are experienced professionals who design, build, and maintain the data infrastructure required for artificial intelligence and machine learning projects. They work with large datasets, create data pipelines, and ensure data is accessible, reliable, and optimized for AI models. Additionally, they collaborate with data scientists and software engineers to implement solutions that support advanced analytics and AI-driven applications. Their role often includes optimizing data storage, ensuring data quality, and integrating new data sources to support evolving business needs.

How does a senior data engineer AI typically collaborate with data scientists and machine learning engineers on AI projects?

A Senior Data Engineer AI plays a crucial role in bridging the gap between raw data and actionable AI models. They work closely with data scientists to understand the data requirements and ensure data pipelines deliver clean, well-structured datasets for model training and evaluation. Collaboration often involves designing scalable architectures, troubleshooting data issues, and optimizing data workflows to support experimentation and deployment. Regular cross-functional meetings and agile sprints are common, allowing for alignment on project goals and seamless handoff between engineering and modeling tasks.

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

To thrive as a Senior Data Engineer AI, you need advanced expertise in data modeling, ETL processes, and strong programming skills in languages like Python or Scala, typically backed by a degree in computer science or a related field. Familiarity with big data tools (e.g., Spark, Hadoop), cloud platforms (AWS, GCP, Azure), and experience with AI/ML frameworks such as TensorFlow or PyTorch are essential, and certifications in these areas are highly valued. Exceptional problem-solving, communication, and project management skills help you collaborate across teams and drive complex AI-enabled data solutions. These competencies ensure scalable, high-quality data pipelines that support robust AI applications and organizational decision-making.

What is the difference between Senior Data Engineer Ai vs Data Scientist?

AspectSenior Data Engineer AiData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, statistical research
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, consulting

While both roles work with data, Senior Data Engineer Ai focuses on building and maintaining data infrastructure and pipelines, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but have distinct skill sets and responsibilities.

What are popular job titles related to Senior Data Engineer Ai jobs in Oregon?

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

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

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

Senior Data Engineer Ai jobs near you
Infographic showing various Senior Data Engineer Ai job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Data Engineer

On-site, Remote

AmeriSave Mortgage Corp.
Finance and Insurance • 1 - 5K employees
Learn more about AmeriSave Mortgage Corp.external

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Job description

Description
AmeriSave Mortgage Corporation has set the standard in online mortgage lending with over $130 billion in funded loan volume. As one of the top-rated, largest privately-owned online mortgage lenders in the nation, our mission is to deliver beneficial, responsible home lending solutions with unwavering integrity, dedication and excellence. As a leading mortgage lender, we pride ourselves on our innovative approach and commitment to customer satisfaction.
Our employees are the driving force behind our success. We believe in the power of a dynamic and talented workforce and creating an environment where your contributions are not just recognized, they're celebrated. Your success is our success, and we are seeking skilled professionals who are ready to bring their A-game, exceed benchmarks and enhance the overall excellence of AmeriSave, while also growing and advancing their careers.
At AmeriSave, we're one team with one shared dream - to be the best. Let's redefine excellence together!
What We're Looking For:
We are seeking a highly skilled Senior Data Engineer to join the Enterprise Intelligence department at AmeriSave Mortgage. This role will be responsible for designing, developing, and maintaining a best-in-class enterprise data warehouse to support advanced analytics, data science, and Artificial Intelligence activities throughout the company. The Senior Data Engineer will report directly to the Senior Vice President of Enterprise Intelligence.
Observability & Monitoring
  • Own the control tower for database health across the Azure SQL estate - standing up and maintaining monitoring through database watcher, Azure Monitor metrics and alerts, Query Store, DMVs, and Log Analytics / KQL.
  • Establish wait-statistics, file-I/O, and resource (DTU/vCore) baselines per workload, defining what "normal" looks like per workload and per time-of-day.
  • Define and continuously tune Azure Monitor alert rules and action groups (blocking, deadlocks, long-running queries, resource saturation) against those baselines so alarms stay trusted and acted upon - alerting on statistical deviation rather than arbitrary thresholds.

What You'll Do:
  • Design, develop, and maintain robust enterprise data warehouse solutions that support data science, artificial intelligence, and business intelligence requirements.
  • Architect scalable ETL/ELT pipelines to efficiently transform raw data into structured, analytics-ready formats.
  • Build and manage API integrations, including hands-on API development.
  • Utilize T-SQL and Azure Data Factory to create, optimize, and manage data integration workflows.
  • Use Microsoft Fabric notebooks for transformation and orchestration where appropriate, leveraging Lakehouse and Warehouse for supplemental storage.
  • Ensure high data quality, integrity, and performance through meticulous query tuning and process optimization.
  • Collaborate with data scientists, software developers, business intelligence teams, and stakeholders to develop and deploy data solutions that meet business needs.
  • Translate business requirements into technical solutions and coordinate smoothly between engineering and other teams.
  • Lead the creation of scalable, reliable data models and optimize them for performance and usability.
  • Drive continuous improvement in data engineering processes and practices to keep them efficient and aligned with industry best practices.
  • Monitor system performance and proactively implement improvements to maximize efficiency and scalability.
  • Troubleshoot and resolve data-related issues to ensure reliable data delivery.

What You'll Need:
  • This role is ideal for someone who thrives in a dynamic, fast-paced environment, enjoys solving complex data problems, and is passionate about driving innovation in data engineering.
  • 5+ years of hands-on experience in data warehousing, data engineering, or a similar role.
  • Extensive experience with T-SQL, including advanced query development and performance tuning.
  • 5+ years as a SQL Server / Azure SQL DBA - performance tuning, index and statistics management, execution-plan analysis, and proactive capacity planning.
  • Proficiency with pipeline development and configuration using Azure Data Factory (ADF).
  • Working familiarity with Microsoft Fabric (notebooks and pipelines for transformation, Lakehouse, and Warehouse)
  • Expertise in Python for data engineering tasks, including data manipulation and workflow management.
  • Strong understanding of data modeling, data architecture, and best practices in data governance.
  • Experience handling sensitive/PII data and supporting data quality and governance in a regulated, financial-services environment.
  • Experience preparing clean, analytics- and ML-ready datasets to support data science and AI workloads.
  • Excellent problem-solving skills and the ability to work independently as well as collaboratively.
  • Strong communication skills to effectively liaise with both technical teams and non-technical stakeholders.

**Please note that the compensation information that follows is a good faith estimate for this position only and is provided pursuant to the Colorado Equal Pay for Equal Work Act and Equal Pay Transparency Rules. It is estimated based on what a successful Colorado applicant might be paid. It assumes that the successful candidate will be in Colorado or perform the position from Colorado. Similar positions located outside of Colorado will not necessarily receive the same compensation. **
Compensation:
Annual compensation for this position generally ranges from $100,000 - $170,000.
Benefits:
• 401(k)
• Dental insurance
• Disability insurance
• Employee discounts
• Health insurance
• Life insurance
• Paid time off
• 12 paid holidays per year
• Paid training
• Referral program
• Vision insurance
Supplemental pay types:
• Bonus
• Referral bonuses
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act Disclosure Acknowledgment
Employment Applicants, New Hires, and Employees Residing in California
AmeriSave Mortgage Corporation's Privacy Policy Statement ("Policy") can be reviewed here: www.amerisave.com/privacy-policy
AmeriSave Mortgage Corporation's California Consumer Privacy Act ("CCPA") Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/
When AmeriSave's Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.

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