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

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

Bachelor's degree in Supply Chain Management, Business Analytics, Data Science, Statistics, Industrial Engineering, Operations Research, or a highly quantitative field. * A Master's degree or ...

Bachelor's degree in Supply Chain Management, Business Analytics, Data Science, Statistics, Industrial Engineering, Operations Research, or a highly quantitative field. * A Master's degree or ...

Drive the team away from manual data entry by engineering automated Excel templates, Google Sheets ... related quantitative field is highly advantageous. * 5-7+ years of progressive, corporate ...

Drive the team away from manual data entry by engineering automated Excel templates, Google Sheets ... related quantitative field is highly advantageous. * 5-7+ years of progressive, corporate ...

Director of Biostatistics

Bend, OR · Remote

$60 - $65/hr

... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ... Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.

Quantitative Data Engineer information

See Bend, OR salary details

$11.6K

$136.8K

$208.9K

How much do quantitative data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quantitative data engineer in Bend, OR is $136,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $146,100.00 per year, depending on experience, location, and employer.

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 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.

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.

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 popular job titles related to Quantitative Data Engineer jobs in Bend, OR? For Quantitative Data Engineer jobs in Bend, OR, the most frequently searched job titles are:
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What cities near Bend, OR are hiring for Quantitative Data Engineer jobs? Cities near Bend, OR with the most Quantitative Data Engineer job openings:
Infographic showing various Quantitative Data Engineer job openings in Bend, OR as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,798 per year, or $65.8 per hour.

Engineer / Scientist II, R&D Strategic Innovation Accelerator

Lonza

Bend, OR • On-site

Full-time

Medical, Dental, Vision

Re-posted 8 days ago


Lonza rating

8.3

Company rating: 8.3 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical


Job description

The actual location of this job is in Bend, Oregon (USA). Relocation assistance is available for eligible candidates and their families, if needed.

This is a fully site-based role. Working together in person supports close, real-time collaboration and the technical precision needed to manufacture medicines to the highest quality and safety standards.

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of.

We are seeking an early-career bioprocess engineer with hands-on experience in laboratory-scale protein purification to join our growing R&D team focused on accelerating high-impact innovations in biologics manufacturing. This role will specialize in downstream process development while contributing flexibly to other technical areas across bioprocessing workflows as project needs evolve.

You will be responsible for both executing experiments, communicating results, as well as contribute to basic biologics laboratory management.

What you will get:

  • A dynamic and innovative work environment where you can drive impactful research and technology development.
  • Opportunities for professional growth through collaboration, mentorship, and hands-on project involvement.
  • An inclusive and ethical workplace.
  • Compensation programs that recognize high performance.
  • Medical, dental and vision insurance.
  • The full list of our global benefits can be also found on https://www.lonza.com/careers/benefits.

What you will do:

  • Design and execute laboratory-scale downstream processing experiments involving chromatography, filtration, harvest clarification, and ultrafiltration/diafiltration.

  • Operate, maintain, and troubleshoot bioprocessing equipment and associated control systems.

  • Develop scalable, high-throughput, or automated experimental workflows that generate high-quality, reproducible process data.

  • Apply engineering principles to evaluate process performance, solve practical problems, and guide iterative experimental design.

  • Contribute flexibly across adjacent technical areas, including cell culture, bioreactor operation, automation, and analytical assays.

  • Communicate results clearly and contribute effectively within fast-paced, multidisciplinary teams.

What we are looking for:

  • Bachelor's or Master's degree in Chemical Engineering, Bioengineering, Bioprocess Engineering, or a related field.

  • 2-4 years of relevant hands-on experience in downstream processing, protein purification, or bioprocess development.

  • Experience with downstream unit operations such as chromatography, filtration, harvest clarification, or ultrafiltration/diafiltration.

  • Experience designing chromatography experiments and operating AKTA systems is preferred.

  • Strong engineering fundamentals as applied to bioseparations unit operations.

  • Strong quantitative problem-solving, data-analysis, and experimental-design skills.

  • Mechanical aptitude for troubleshooting and maintaining laboratory equipment.

  • Experience with mammalian cell culture, bioreactors, automation, programming, or assay development is a plus.

Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.


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