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Data Science Engineer Jobs in Oregon (NOW HIRING)

OR ยท On-site

$150K/yr

Bachelor 's degree in Computer Science, Information Systems, Data Science, Engineering, or related field1-3 years of experience in data engineering, data analysis, business intelligence, or related ...

Lead Data Scientist

OR ยท On-site +1

Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...) * Strong knowledge of key programming concepts (e.g. split ...

Data Scientist - Search

OR ยท On-site +1

We use a semi-embedded team structure, with data team members interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of ...

Data/AI Scientist II

OR ยท On-site +1

$95K - $127K/yr

About this role At Waymark, our data science work is grounded in a specific and meaningful ... You will work closely with senior data scientists and engineers to learn how ideas move from ...

Data Scientist

OR ยท On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Data Scientist

OR ยท Remote

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Data Scientist

OR ยท On-site +1

What you bring: * 5+ years of hands-on experience in applied data science, machine learning, AI engineering, or AI research. * Computer Science or equivalent technical degree strongly preferred

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Overview This is a general posting for multiple Senior Data Science roles open across our 4-sided ... You'll partner closely with Product, Engineering, and ML to shape the roadmap for search relevance ...

Software Engineer 5 - Platform Data Products

OR ยท On-site +1

$388K - $558K/yr

Platform Data Science & Engineering (Platform DSE) is an internal-facing team that helps Netflix's Technology org understand and optimize its cloud and AI infrastructure. We're looking for a full ...

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and ...

$114K - $137K/yr

Overview LMI is seeking a skilled Data Engineer to join our team and contribute to developing ... Translate complex data science and analytics outputs into governed, reusable data products surfaced ...

Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred. Relevant experience considered in ...

Data Engineer

$90K - $135K/yr

Work closely with data scientists, business analysts, and stakeholders to understand business requirements and translate them into analytical solutions. Collaborate with the engineering team to ...

Showing results 21-40

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 cities in Oregon are hiring for Data Science Engineer jobs?

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

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.

$150K/yr

Full-time

Re-posted 7 days ago


Job description

Data EngineerRemoteAt IPT Associates (IPTA), we enjoy solving real-world problems with technology. We work closely with our customers, teammates, experts, and partners to come up with practical solutions that make a difference. Whether it's a government or business organization, we focus on understanding the need and building something that works.Our TeamAt IPTA, everything starts with our people. We're big believers that when you invest in your team, great things happen. That's why we encourage learning, growth, and trying new things-even if you don't have all the answers yet.Our culture is rooted in fierce determination, fearless integrity, and passionate service-but we also like to keep things collaborative, supportive, and down-to-earth.We're looking for people who:Are curious and excited about technologyLike solving problems and figuring things outCan take initiative but also enjoy working with a teamWant to keep learning, growing, and challenging themselvesIf you're someone who's eager to jump in, learn something new, and make an impact-you'll fit right in here.Position Overview:This role is ideal for an early-career, results-driven, and logically oriented data engineer who has low-code/no-code development experience in the Microsoft 365 ecosystem and is either already familiar with Palantir Foundry (Army Vantage) or able to quickly learn Palantir Foundry (Army Vantage) concepts, tools, and workflows. Familiarity or experience with Dataverse, Power Platform, Power BI, SharePoint, and Microsoft-based data environments is highly valued for this position.Responsibilities:Support development and maintenance of data pipelines, datasets, and curated data products within the Army Vantage analytics ecosystemAssist with preparing ingested data in Vantage for manipulation, including standardization, transformation, enrichment, validation, and basic quality checksHelp structure data so it can support visualization, analysis, reporting, and AI-assisted workflows within Army VantageApply foundational data modeling and data ontology concepts to help organize mission data in ways that improve discoverability, usability, and accessibilitySupport connections between disparate Army databases, FCC tools, A365-based data sources, and higher command data sourcesUse A365 and Microsoft tools such as Dataverse, Power Platform, Power Automate, Power Apps, SharePoint, and Power BI to support data collection, workflow automation, reporting, and transition of data into Vantage-ready structuresDevelop and maintain SQL queries and scripts to support dashboards, metrics, data validation, and ad hoc analysisDocument data flows, data definitions, transformation logic, and engineering processes to improve maintainability and reuseWork closely with senior engineers, government analysts, and data scientists to implement mission requirements while following security, governance, and access control policiesRequirements:Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field1-3 years of experience in data engineering, data analysis, business intelligence, or related technical rolesFoundational knowledge of SQL, data manipulation, data modeling, and data quality conceptsFamiliarity with Microsoft-based data environments, preferably Microsoft 365, Dataverse, Power Platform, Power BI, SharePoint, or related toolsPreferred experience with Palantir Foundry (Army Vantage); candidates without direct Vantage experience must be able to quickly learn Army Vantage tools, data workflows, and data product development practicesAbility to work in secure government environments and follow defined engineering, governance, and documentation processesAbility to obtain and maintain an Active Secret clearanceDesired Experience:Direct exposure to Army Vantage or other DoD enterprise analytics platformsHands-on experience with Army 365 (A365), Dataverse, Power Platform, Power Automate, Power Apps, SharePoint, and/or Power BIExperience supporting dashboards, reports, analytics solutions, data pipelines, or data quality activitiesFamiliarity with basic data governance, metadata, data cataloging, data ontology, or data quality practicesStrong communication skills, attention to detail, and willingness to learn new Army data platforms and mission workflows IPTA is an Equal Opportunity Employer. All employment decisions are based on individual merit, including qualifications, experience, performance, and business needs, consistent with applicable federal laws and federal contracting requirements. IPTA provides equal opportunity and utilizes merit-based principles to make employment-related decisions.#clearance