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

nLIGHT

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

nLIGHT

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR

$110K - $152K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

$45 - $58/hr

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Five (5) years of experience in Data Science / Machine Learning * Strong programming skills in Python * Proven experience with: * Time-series analysis and anomaly detection * Statistical modeling and ...

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Showing results 21-40

All JobsData Science Engineer JobsData Science Engineer Jobs in Portland, OR

Data Science Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.3K

How much do data science engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science engineer in Portland, OR is $137,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

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 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 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 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 Portland, OR?

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

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

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

Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

DevOps Engineer - Big Data/AWS

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

$56 - $76.50/hr

Contractor

Re-posted 6 days ago

Job description


We are looking for a motivated and experienced administrator / Engineer to join our Big Data cloud operations team. This is a unique opportunity to support a dynamic team of data scientists, data engineers, and data analysts working with cutting edge Big Data technology.
We are looking for experience in Hadoop, AWS, Systems/Data Administration and the ability work with 3rd party applications and databases. There will be work to set up new infrastructure components, integrate with existing data systems, create automation, support engineering and business users.
Job Qualifications
• Big Data / Hadoop: 2 years, experience with Spark or Hive desired
• AWS: 2 year
• Programming: Shell, Python, REST APIs, and JSON
• Linux: 5 years systems administration
• Applications: Experience with 3rd party software implementation and integration
• Version Control: Experience with version control platforms (Git, BitBucket)
• User Support: Experience with end user support required, experience supporting data science (machine learning), engineers, and analysts desired
• Infrastructure Operations: Experience with infrastructure operations, DevOps automation, and responding to production incidents
• Data Science Tools: experience installing & maintaining collaborative Notebook environments (JupyterHub, RStudio, Zeppelin, or Databricks)
  • Agile/Kanban/Scrum experience
  • Demonstrated communication andinterpersonal skills
  • Ability to work well and thrive in afast-moving culture with complex technology applications

Educational qualifications
• BS in Computer Science or related field, or excellent qualifications with relevant experience

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