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Data Analytics Engineer Jobs in Oregon (NOW HIRING)

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

Data Scientist 1

Lake Oswego, OR · On-site

$90K - $110K/yr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

Data Scientist 1

Portland, OR · On-site

$90K - $110K/yr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

NVIDIA's Developer Technology Engineering team is a global network of world-class experts pushing ... Strong background in distributed high-performance data analytics including SQL or vector databases.

... Data Analytics, Supply Chain, Engineering, or related field - 3-5 years of experience in data analysis, preferably in logistics, fleet, or industrial operations - Strong analytical skills with ...

Data Analyst

OR · On-site +1

About Us YipitData is the leading market research and analytics firm for the disruptive economy ... Collaborate cross-functionally with Research, Engineering, and other teams - coordinating across ...

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Data Engineer Location: Beaverton, OR - Hybrid (4 days onsite / 1 day remote per week) Duration ... Develop solutions that support analytics, profitability, and margin improvement. * Partner with ...

$85K - $108K/yr

Experience with Navy Data Analytics tools. * DoD/DoN procedures and Policies (DoD 5000 process ... Bachelor's degree in Math, Science, Engineering, or related field. EOE/M/F/ Disability/Vet VEVRAA ...

Showing results 41-60

Data Analytics Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analytics 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.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Oregon?

The most popular types of Data Analytics Engineer jobs in Oregon are:

What cities in Oregon are hiring for Data Analytics Engineer jobs?

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

Infographic showing various Data Analytics Engineer job openings in Oregon as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

Spring 2027 Intern - Data Analytics

Workiva

Eugene, OR • On-site, Remote

$22/hr

Full-time

Retirement

Posted 4 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our marketing team to identify new use cases for Wdesk and suggest product improvements related to the ESMA mandate.

What You'll Do

  • Perform market research on the European Securities and Markets Authority (ESMA) mandate
  • Collect information on companies’ current compliance with ESMA disclosure requirements and gather information comparing current state to present and potential future Wdesk functionality
  • Analyze data to drive decision-making on new features of Wdesk
  • Suggest new product development priorities for Wdesk after gathering market data
  • Analyze use of Wdesk by current customers in the EU

What You'll Need

Minimum Qualifications

  • Currently enrolled in a degree-seeking program from an accredited university

Preferred Qualifications

  • A research mentality
  • Proven ability to analyze data
  • Excellent verbal, written, and interpersonal communication skills
  • Self-motivated with strong propensity for action, results, and continuous improvement
  • The ability to work successfully in a high-energy, fast-paced, rapidly changing environment
  • Exceptional organizational skills with the ability to multi-task and manage multiple processes, programs, and procedures simultaneously while working under pressure to meet deadlines
  • Experience using Excel to collect and analyze data

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely and not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships : Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $22.00 - $22.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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