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Data Science Engineer Jobs in Oregon (NOW HIRING)

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Data Science Engineer information

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$47K

$137.1K

$187.7K

How much do data science engineer jobs pay per year?

As of Jun 9, 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 job?

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 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 Scientist/Engineer - Junior (Remote)

Data Scientist/Engineer - Junior (Remote)

SynergisticIT

Portland, OR โ€ข On-site, Remote

Full-time

Posted 18 days ago


Job description

โ€œGhosted by companies and/or No/Failing Interviews? Lost in the Applicant Pile? Start getting offersโ€ - Get Hired with a Process which Works !

Many job seekers assume the tech market has shut down, but the truth is companies are still hiring โ€” theyโ€™re just being more selective. Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employerโ€‘ready candidates get through.

Getting hired in tech isnโ€™t just about knowing how to code โ€” itโ€™s about proving you can deliver value from day one. If youโ€™re getting interviews but not offers, youโ€™re closer than you thinkโ€”yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.

The result is painful: โ€œalmost hiredโ€ over and over again, while the confidence drops. The truth is that interviewing is its own skill, and Colleges donโ€™t teach it. They teach how to codeโ€”but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer.

Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you donโ€™t know what the interview is truly measuring. Interviews rarely test โ€œcan you write code at home.โ€ They test: Can you solve problems under constraints and time pressure?

Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices?

Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for.

If your pattern is โ€œI reach interviews but donโ€™t clear them,โ€ you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You donโ€™t need to be perfectโ€”you need to show you can think, collaborate, and deliver. Thatโ€™s why guided mock interviews and structured interview coaching can be a game-changer.

Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in โ€œscreen round limboโ€ Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who havenโ€™t interviewed in years and feel rusty Career changers who fear โ€œIโ€™m behind CS gradsโ€ (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. If youโ€™re tired of failing interviews and want a structured plan to convert interviews into offers, start here: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ Because getting hired isnโ€™t about trying harderโ€”itโ€™s about preparing smarter, practicing correctly, and having the right guidance.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume.