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Data Science Engineer Jobs in Oregon (NOW HIRING)

AmeriSave Mortgage Corporation

Senior Data Engineer

Enterprise, OR · On-site

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data scientists, software developers, business intelligence teams, and stakeholders to develop and deploy data solutions that meet business needs. * Translate business requirements ...

New

Numerator

Sr. Data Scientist II

... data science services across our rapidly evolving data platform. You'll work end-to-end on ... You'll partner with Product, Data, and Engineering teams to translate customer needs into data ...

AmeriSave Mortgage Corp.

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data scientists, software developers, business intelligence teams, and stakeholders to develop and deploy data solutions that meet business needs. * Translate business requirements ...

Numerator

Sr. Data Scientist II

... data science services across our rapidly evolving data platform. You'll work end-to-end on ... You'll partner with Product, Data, and Engineering teams to translate customer needs into data ...

BECU

Data Scientist

OR · On-site +1

$75K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Minimum2years of experience in data science, including at least 1 year applying data science in a business or industry settingwith proficiency in programming languages such as Python or R, with the ...

Terzo

Data Scientist

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Engineering About Terzo Terzo builds an AI-native enterprise data platform designed to power the ... You might thrive in this role if you have * 5+ years of experience in data science, applied ML, or ...

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers ...

SOSi

Senior Data Scientist

OR · Remote

... engineering processes, and audit compliance. * The contractor shall implement sprint-based Agile ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

Cornerstone OnDemand

$114K - $137K/yr

We are seeking a talented Data Engineer with strong communication skills, passion for solving ... Partner with data scientists and functional leaders in sales, marketing, and product to deploy ...

SOSi

Senior Data Scientist

Myrtle Point, OR

... engineering processes, and audit compliance. * The contractor shall implement sprint-based Agile ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

Cornerstone

$114K - $137K/yr

We are seeking a talented Data Engineer with strong communication skills, passion for solving ... Partner with data scientists and functional leaders in sales, marketing, and product to deploy ...

SOSi

Senior Data Scientist

OR · On-site +1

... engineering processes, and audit compliance. * The contractor shall implement sprint-based Agile ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

Pwc

AI & GenAI Data Scientist-Director

Portland, OR · On-site

$155K - $410K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine ...

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Showing results 41-60

All JobsData Science Engineer JobsData Science Engineer Jobs in Oregon

Data Science Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do data science engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

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

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

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

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

What cities in Oregon are hiring for Data Science Engineer jobs?

Cities in Oregon with the most Data Science Engineer job openings:

Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

Senior Data Engineer

AmeriSave Mortgage Corporation

Enterprise, OR • On-site

$100K - $136K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

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: ;/b>
AmeriSave Mortgage Corporation's California Consumer Privacy Act ("CCPA") Recruitment Disclosure can be reviewed here: ;/b>
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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