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Data Engineering Jobs in Oregon (NOW HIRING)

OR

$446K - $752K/yr

You also need strong data and engineering backgrounds, to be a quick and data-driven learner, and have the ability to lead large multi-disciplinary, cross-functional teams. Responsibilities: Vision:

OR · On-site

$105K - $143K/yr

You'll collaborate closely with cross-functional teams including engineering, product, and revenue to ensure that our data is accurate, accessible, and reliable for making informed business decisions.

Data & Platform Engineer

Beaverton, OR · Hybrid

$119K - $143K/yr

... in Data Engineering, Analytics Engineering, Business Applications, or a related technical role. * Strong experience with SQL Server and/or PostgreSQL. * Hands-on experience with Microsoft Power ...

OR

$114K - $137K/yr

As a senior technical expert, you will collaborate cross-functionally with engineering, analytics, and product teams to design data systems that are secure, efficient, and cost-effective. You will ...

This role combines data engineering, Power Platform development, analytics enablement, and systems integration with a focus on automation, data reliability, and business reporting. This is a direct ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

Our team of Data Engineers and Data Scientists are responsible for collaborating with clients and internal teams to solve complex data-related challenges for some of the biggest brands in the world.

Implement CI/CD pipelines and best practices for data engineering assets, ensuring reproducibility, version control, and reliable deployment of research data pipelines and datasets * Design and ...

OR · On-site

$114K - $137K/yr

This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed ...

$114K - $137K/yr

This role requires strong data engineering fundamentals, experience building data quality frameworks, and a systematic approach to defining and enforcing standards. You are detail-oriented ...

$114K - $137K/yr

The ideal candidate is familiar with healthcare data standards, has intermediate engineering skills, and the ability to operate in a highly regulated, fast-paced environment. Essential Duties ...

Data Engineer

Gresham, OR · On-site

$120K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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Showing results 1-20

Data Engineering information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do data engineering jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data engineering in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Oregon? The most popular types of Data Engineering jobs in Oregon are:
What are popular job titles related to Data Engineering jobs in Oregon? For Data Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Oregon look for? The top searched job categories for Data Engineering jobs in Oregon are:
What cities in Oregon are hiring for Data Engineering jobs? Cities in Oregon with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Oregon as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.
Manager, Member Innovation - Data Engineering

Manager, Member Innovation - Data Engineering

Netflix

OR

$446K - $752K/yr

Other

Medical, Life, Retirement, PTO

Posted 10 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

56th of 65 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. We are looking for an experienced leader to help lead the Member Innovation Data Engineering team. This team will work in close partnership with Data Scientists and Product Managers to support new innovation on the Netflix Product.

You will help influence and guide projects from end-to-end: ideation to production. To be successful in this role, you need to be a strong people leader; be great at giving and receiving feedback, fostering new ideas, and empowering others. You also need strong data and engineering backgrounds, to be a quick and data-driven learner, and have the ability to lead large multi-disciplinary, cross-functional teams.

Responsibilities: Vision: You intuitively understand business and technology and you leverage that to guide a team by providing relevant context and inspiration. Team Building: You are constantly on the lookout for talent and have a knack for recognizing and attracting top-tier engineers to your team. You understand the importance of building an amazing team that is additive and diverse, and the value it brings to the overall company.

Just as important as recruiting, you develop connections with the team and help them flourish in their roles, so the team retains its best talent. Feedback & Development: You will coach and guide employees through their strengths and weaknesses through regular feedback. Partnership: You will continue to establish strong relationships with both business and technical leaders across Netflix.

Skills & Characteristics: You are a strong people leader who also demonstrates humility. You care deeply about people, and their success. You invest in your relationships, so that you have an understanding of the whole person and their perspective.

You're not afraid of tough conversations, and are experienced in coaching your colleagues through difficult situations. You are comfortable sharing your perspective on challenging people dynamics. You seek to de-escalate tense situations, and are creative & flexible in finding balance with partners to maximize impact.

You are a strong communicator, and self-aware about how others perceive your comments. As someone in a leadership role you aim to be assertive, not passive nor aggressive, in providing input, support, and feedback. You are forward-looking and able to anticipate the investments Netflix should be making to improve efficiency, innovation, and alignment.

You identify areas for continuous improvement, and persistently advocate for action to address them. You're allergic to micromanagement. You prefer to give context, delegate, and watch amazing people exceed your hopes and expectations.

Preferred Requirements: You have strong business intuition, product sense, and analytic chops. You have 8+ years of experience in data engineering. You have strong programming (at least 1 major language) and SQL experience in your background.

You have 4+ years of engineering leadership experience. You have worked in a technical role with a large scale consumer facing digital company. You have a MS in Computer Science/Engineering, or related field.

You have strong experience with distributed data processing technologies (i.e. Spark/Hadoop, etc.) 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 $446,000.00 - $752,000.00. 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