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Data Analytics Engineer Jobs in Oregon (NOW HIRING)

Senior Data Analyst

OR · On-site +1

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity to become part of a fast-growing, revolutionary fintech company shaping the future of retail futures ...

Analytics Engineer 5 - Ads Measurement DSE

OR · On-site +1

$330K - $566K/yr

As a Senior Analytics Engineer, you'll design metrics, generate insights by scoping and executing ... Analyze and interpret data to understand and provide recommendations for the effectiveness of ...

Collaborate with Product, Data engineering and AI vertical leaders within the Data & Analytics organization translating business needs to scalable data centric solutions A forward-thinking mindset to ...

Analytics Engineer 5 - Content & Studio

OR · On-site +1

$330K - $566K/yr

Data and Insights at Netflix is aimed at using data, analytics, causal inference, machine learning ... We are looking for a Senior Analytics Engineer to lead the design and implementation of robust data ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

Analytics Engineering & BI: Experience with modern data stacks including cloud-based databases. Hands on experience with data warehousing tools (e.g., Snowflake, BigQuery, Redshift). Experience with ...

Data Engineer, Staff

Newberg, OR · On-site

$120 - $180/hr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large‑scale projects, and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

... DevOps. Communicate analysis results to stakeholders, propose and align on solutions, and create ... End-to-end project management, and data analytics to support recommendations, decisions and track ...

Data Analyst IV

Portland, OR · On-site

$80 - $115/hr

... DevOps. Communicate analysis results to stakeholders, propose and align on solutions, and create ... End-to-end project management, and data analytics to support recommendations, decisions and track ...

We're looking for a Director, Analytics Engineering to help in shaping the data infrastructure ... This role bridges the gap between data engineering and insights, enabling data-driven strategies ...

Showing results 21-40

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 Aug 26, 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.

Analytics Engineer 5 - New Content Experiences DSE

Netflix

OR • On-site, Remote

$330K - $566K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 26 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Senior Analytics Engineer to join our New Content Experiences DSE team.

The New Content Experiences team focuses on introducing new content types and innovative experiences to our product. We partner closely with Product, Design, Algorithms, Content, and Engineering to surface opportunities, influence the product strategy, and evaluate the success of different initiatives. The most recently launched example of a New Content Experience is our Live offering (including WWE and the NFL Christmas games among other great hits!).

As part of a team of Data Scientists and Analytics Engineers, you will lead end-to-end product analytics for the space, which is key to a successful New Content Experiences ecosystem. This role will partner closely with our stakeholders from Product and Technology to do advanced analytics that will inform the product, design, and engineering strategies to support the development and performance of our New Content Experiences portfolio. As an early member of the team, you will also help shape our overall Data Strategy, monitoring, and decision frameworks.

In this role, you will: Partner directly with our stakeholders (e.g., Data Scientists, Product Managers, Designers, Engineers) on data, metrics & analytics initiatives Lead end-to-end development of analysis and tools used by your direct stakeholders and a diverse set of teams across the company Responsible for analyzing and interpreting data to provide valuable insights and recommendations to enhance the member experience and improve product performance Collaborate with the data engineering and data science teams to ensure data quality, integrity, and availability for analysis Drive the direction and execution of your work, which spans from developing scrappy analysis and tools to designing scalable systems We are looking for: Exceptional communication and collaboration skills coupled with strong business curiosity and acumen 5+ years of industry experience in a data analytics or data science function 5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark), and visualization tools Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range

The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits

We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.

See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.

We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.


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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997