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Founding Data Engineer Jobs in Oregon (NOW HIRING)

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$372K - $600K/yr

... Engineering, and Finance, to inform commerce strategy and data-informed decision-making through ... We are hiring founding data scientists to help define this space from the ground up and develop the ...

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We are looking for the founding members of this new business area for Netflix. The Ads Forecasting ... data. Strong programming skills in Python and strong SQL. Working knowledge of ad-serving and ...

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$122K - $161K/yr

Our founding team includes industry veterans and experts in neural information retrieval and ... Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas ...

Principal Full Stack Engineer

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$134K - $180K/yr

... data to revolutionize our automation tools. * Architectural Vision: Lead the design of reusable ... Previous experience as a founding engineer or in an early-stage startup environment. * Experience ...

Our founding team includes industry veterans and experts in neural information retrieval and ... Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas ...

OR · On-site

We're a high-growth AI and Data company scaling rapidly. We are a team of agentic builders who rely ... As the founding manager of this new team, you will be instrumental in guiding the team's technical ...

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Become a founding member of the product legal team, serving as a legal partner to ClickHouse ... Cultivate strong relationships with product and engineering leadership and act as a pragmatic ...

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Showing results 1-20

Founding Data Engineer information

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 Founding Data Engineers?

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 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:
Data Scientist 4/5 - Identity DSE

Data Scientist 4/5 - Identity DSE

Netflix

OR

$372K - $600K/yr

Other

Medical, Life, Retirement, PTO

Posted 20 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th 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. Our Commerce Data Science team works with a broad range of collaborators and stakeholders, including Product, Engineering, and Finance, to inform commerce strategy and data-informed decision-making through analysis, metrics research, experimentation, causal inference, and modeling, but also through exceptional judgment, partnership, and business acumen. As part of our investment in next-generation commerce and identity capabilities, the Identity team is responsible for building a unified, individual-level identity platform that will serve as the core foundation for future product experiences.

This cross-functional, cross-domain effort will reshape how we understand our users and how identity signals are captured, connected, and used across the Netflix ecosystem. Our mission is to deliver a more consistent, accurate, and personalized experience for every individual who interacts with Netflix. We are hiring founding data scientists to help define this space from the ground up and develop the scientific frameworks that will power new commerce experiences at global scale.

As a Data Scientist, you will join a team of other stunning Data Scientists, Analytics Engineers, Machine Learning Scientists, and Research Engineers. You will use data to identify opportunities and help shape product decisions. In this role, you will: Effectively identify and leverage experimentation and other analysis techniques, as appropriate, to solve business problems Be a strategic thought partner with commerce, product, engineering, analysts, data engineering etc Influence decision-making through data-driven insights and recommendations Proactively identify and perform data exploration to inform future product directions Prioritize competing demands toward the most impactful items Develop and validate the appropriate metrics to measure success in a given product area Contribute to the excellence of experimentation methodology within the Netflix data science community Live Netflix values while bringing a new perspective to continue improving our culture To be successful in this role, you have: An advanced degree (Masters or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field Strong statistical skills such as regression and A/B testing experimentation Strong data manipulation and quantitative programming skills in SQL and Python or R Experience designing experiments and familiarity with observational causal inference methodologies Exceptional communication with technical and non-technical audiences Willingness to learn and rapidly absorb business context Comfort with ambiguity; ability to thrive with minimal oversight and process 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 $372,000.00 - $600,000.00

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.


What Netflix employees say

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Hours and flexibility

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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