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Founding Data Engineer Jobs in Oregon (NOW HIRING)

We are now hiring for the founding data scientists in this new business area for Netflix. Our goal ... Our work includes feature engineering, modeling, lookalike algorithms, and optimization. We also ...

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

As our founding DevOps hire, you'll bring that work together under a single owner and a clear ... Data Reliability & Operations - Own the reliability of our data layer. Keep production databases ...

Since our founding over 100+ years ago, Rosendin has been driven to positively impact the ... High-rise residential, Commercial, and Data Center experience is a plus. * Proficiency in Analytics ...

Since our founding over 100+ years ago, Rosendin has been driven to positively impact the ... High-rise residential, Commercial, and Data Center experience is a plus. * Proficiency in Analytics ...

Since our founding over 100+ years ago, Rosendin has been driven to positively impact the ... High-rise residential, Commercial, and Data Center experience is a plus. * Proficiency in Analytics ...

Partner with the founding engineer to document and scale institutional knowledge to enable future ... Experience with object serialization and structured data formats (e.g., XML, JSON). * Understanding ...

Senior Privacy Engineer

OR · On-site +1

$189K - $216K/yr

This role reports to Asana's Head of Global Privacy, Data Protection, and Compliance. As a founding member of the Privacy Engineering team, you'll shape how we build privacy into our products from ...

Sr. Solutions Engineer, Enterprise

OR · On-site +1

$200K - $262K/yr

... excited to hire a Founding Senior Solutions Engineer to join our growing Enterprise Sales ... Technical fluency - proven ability to understand and explain complex API integrations, data flows ...

... and during data evaluation. * Apply academic training and use computer software to perform ... Since our founding in 1957, organizations across the public and private sectors have relied on us ...

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Founding Data Engineer information

What is a founding data engineer?

Founding Data Engineers are among the first technical hires at a startup, responsible for designing, building, and scaling the company's data infrastructure from the ground up. They work closely with founders and early team members to define data architecture, set up data pipelines, and ensure data quality and accessibility for product development and business insights. This role often requires a blend of software engineering, data modeling, and strategic decision-making skills, as well as the flexibility to adapt to rapidly changing priorities in a startup environment.

What are the unique challenges and opportunities of being a founding data engineer at an early-stage startup?

As a Founding Data Engineer, you'll face the challenge of building data infrastructure from scratch, often with limited resources and evolving requirements. You’ll work closely with founders and cross-functional teams to define data strategies, implement pipelines, and ensure data quality. This role offers significant influence over technical decisions and architecture, and you'll likely wear multiple hats, contributing to both backend engineering and data analytics. The fast-paced environment fosters rapid skill development and provides substantial opportunities for career growth as the company scales.

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

To thrive as a Founding Data Engineer, you need strong expertise in data architecture, database design, and software engineering, often backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or GCP), ETL frameworks, programming languages (such as Python or Scala), and data warehousing tools is typically required. Exceptional problem-solving, adaptability, and collaboration skills set standout candidates apart in this role. These abilities are crucial for building scalable data systems and shaping the technical foundation of an early-stage company.

What is the difference between Founding Data Engineer vs Data Engineer?

AspectFounding Data EngineerData Engineer
Required CredentialsBachelor's or higher in CS, experience in startup environmentsBachelor's or higher in CS, relevant data tools experience
Work EnvironmentEarly-stage startups, high flexibility, broad responsibilitiesEstablished companies, specialized roles, structured teams
Employer & Industry UsageFounding teams, startups, tech companiesTech firms, finance, healthcare, large organizations
Search & Comparison IntentUnderstanding startup data roles, early-stage responsibilitiesStandard data engineering roles, career progression

The main difference between a Founding Data Engineer and a Data Engineer lies in their work environment and responsibilities. Founding Data Engineers typically work in startups, handling broad tasks and building data infrastructure from scratch, while Data Engineers in established companies focus on specific data pipelines within structured teams. Both roles require similar technical skills and educational backgrounds, but their scope and context differ significantly.

What are popular job titles related to Founding Data Engineer jobs in Oregon?

For Founding Data Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Founding Data Engineer jobs in Oregon look for?

The top searched job categories for Founding Data Engineer jobs in Oregon are:

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

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

Infographic showing various Founding Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Research Scientist 5 - Ads, Identity Matching

OR • On-site, Remote


Netflix
Arts, Entertainment, and Recreation • 5 - 10K employees

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 rated media

People enjoy working here

Paid breaks

Uninterrupted breaks


$466K - $750K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 20 days ago


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. In April 2022, we announced that we are creating a new lower-priced, ad-supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers.

We are now hiring for the founding data scientists in this new business area for Netflix. Our goal in the Ided Science team is to deepen our understanding of our ad-tier members, in order to improve advertiser performance and ensure a great member experience. We continually improve ad targeting capabilities through machine learning, analytics, data exploration, and optimization.

Our work includes feature engineering, modeling, lookalike algorithms, and optimization. We also provide modeling and analytics support for Netflix live content and integrations with third-party partners, with a high priority on privacy and data security. We focus on repeatable, scalable modeling for a variety of current and future applications.

This role is for a Research Scientist to focus on identity modeling for our ads audience, including identity modeling, probabilistic matching, differential privacy, and anonymization. Responsibilities Apply modeling and machine learning techniques to business problems at the intersection of product and data science Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation Diagnose data and model assumptions, curating and testing appropriate models for each dataset and business objective Identify, compute and validate the appropriate metrics to measure success Deliver well-documented datasets, tools, and reports to key technical and business partners Serve as a strategic thought partner to product managers and business stakeholders, directly influencing product direction and improving user experience. Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.

Effectively communicate findings and insights to both technical and non-technical audiences, driving adoption and understanding of ML-driven solutions. Qualifications Advanced degree (PhD or Master's) in Computer Science, Statistics, Economics, Applied Mathematics, or related quantitative field 5+ years of experience and high proficiency in SQL, Python 5+ years of experience with large scale data Deep knowledge of machine learning, statistical modeling, and data analysis techniques Experience with prototyping and deploying models using large-scale production data Strong business acumen and ability to translate technical results into business impact Excellent communication and collaboration skills Experience in privacy, differential privacy, anonymization and identity-related concepts 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 $466,000.00 - $750,000.00. 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.


Netflix logo

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


What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

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