ZipRecruiter

Log In

1

Quantitative Data Engineer Jobs in Portland, OR (NOW HIRING)

Geo-Logic Associates

Senior Hydrogeologist

Portland, OR · On-site

$120K - $150K/yr

Responsibilities include project management, preparation of technical reports, quantitative data ... Professional licensure as a Hydrogeologist, Geologist, and/or Engineer is required, ideally in ...

Databento

Systems Engineer

Portland, OR

Databento is the market data platform for modern finance. The company provides real-time and ... quantitative firms. We offer health, dental, disability, and life insurance benefits, as well as ...

previous page

Showing results 41-60

All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Portland, OR

Quantitative Data Engineer information

See Portland, OR salary details

$11.7K

$137.5K

$210K

How much do quantitative data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for quantitative data engineer in Portland, OR is $137,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $146,900.00 per year, depending on experience, location, and employer.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.

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

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

What are popular job titles related to Quantitative Data Engineer jobs in Portland, OR?

For Quantitative Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Portland, OR look for?

The top searched job categories for Quantitative Data Engineer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Quantitative Data Engineer jobs?

Cities near Portland, OR with the most Quantitative Data Engineer job openings:

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Portland, OR as of June 2026, with employment types broken down into 2% As Needed, 83% Full Time, 10% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $137,512 per year, or $66.1 per hour.

Structural/ Thermal Modeling Engineer 3

Lam Research Corporation

Tualatin, OR • On-site

Full-time

Re-posted 2 days ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

130th of 494 rated machine equipment manufacturers

Job description

The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
We move atoms that move the world.
At Lam Research, we create equipment that allows chipmakers to build device features more than 1,000 times smaller than a grain of sand. This tiny scale has a huge impact. Virtually every leading-edge chip inside the electronic products you use every day (TVs, smartphones, laptops, cars-even medical devices) has been made using our equipment.
As one of the world's most trusted suppliers in the semiconductor equipment industry, we're transforming technology. Our equipment places atoms so precisely that nearly every chip today is made using our innovations.
To build a prosperous career, start with an atom.
Should you choose to walk the path historically driven by Moore's law, your primary job function will involve cutting edge R&D activities in the Semiconductor Equipment Industry. If solving challenges no one has faced before or attempted are of interest to you, then Lam Research is the company for you.
What you'll do
  • Developing physics-based models for Thermo-Elastic, Structural and CFD applications for components in semiconductor capital equipment industry. Experience in commercial software like ABAQUS, ANSYS, NASTRAN, COMSOL, etc., is highly desirable.
  • Data driven modeling - Juncture of physics-based modeling with data-driven, AI/ML methods:
    • Developing methods for translating tool operational data into improved engineering designs
    • Utilizing DOE, Optimization, and statistical methods to correlate Simulation data to experimental data.
    • Stochastic optimization tools to bridge between simulation and experiments.
    • Predict, measure and analyze the experimental data of mechanical designs, process specification and software programs for semiconductor manufacturing equipment.
    • Uncertainty Quantification & propagation, sensitivity analysis, statistical inference for model calibration, decision making under uncertainty.
  • Developing and maintaining live multi-physics models
  • Multi-scale modeling from nano, meso to macro levels
  • Provide design improvements of in-service tools based upon quantitative field measured failure data and less quantitative quality metrics as measured by Lam Research.
  • Use advanced statistical, probabilistic and forecasting methods to best quantify design and performance of overall system.
  • Provide written reports and oral presentation of results to design teams and management.
  • Work directly with mechanical, electrical, process and software engineers to define design requirements, goals and objectives of design, CIP, testing and simulation plans.

Who we're looking for
Minimum Qualifications:
  • PhD in Mechanical Engineering or closely related field with strong emphasis in solid mechanics, heat transfer and fluid mechanics or related fields.
  • Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software.
  • Coding ability to supplement commercial software for specific applications as needs arise.
  • Ability to work within a team to own and design concepts and drive design decisions.
  • Ability to lead and conduct design reviews in cross functional and matrixed environments.
  • Strong written and oral communication. Self-starter to start own initiatives and projects for continuous improvement in capabilities and design.
  • This is a graduate eligible role.

Preferred qualifications
  • Preferred knowledge of chemistry, semiconductor metrology methods, and employing sensors and hardware designs in a vacuum environment is also a plus.
  • Expertise or working knowledge in several of these areas are desired:
    • Big data, AI/ML algorithms and concepts.
    • Multi-physics modeling,
    • Multi-scale modeling, Feature scale from nano, meso scale to macro scale.
    • Heat transfer in low pressure regimes
    • HPC, optimization and cloud computing
    • Numerical methods - Smoothed Particle Hydrodynamics (SPH), MD, BTE, Spectral Element, molecular dynamics, DSMC.
    • Thin film mechanics and characterization
    • Ceramic materials
    • Fracture mechanics and Fatigue
    • Uncertainty qualification, error analysis, statistical methods.
    • Statistical theory, DOE, optimization algorithms.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What Lam Research employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Lam Research logo

About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

Social media

FacebookTwitter

View All Lam Research Jobs

Apply