Senior Software Engineer (L5) - Personalization Data
Remote, OR, US
- Pay
$388,000–619,000/yearAnnual period assumed · Location-specific pay — pay source
* You are both a leader and a learner and can smoothly inter-operate between the two personas with humility and maturity 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 $388,000.00 - $619,000.00. 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.
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote, OR,US
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingBuild large web-scale datasets used for personalization
Contribute to the team's big data processing products and frameworks
Partner with algorithm teams to improve Netflix personalization
Design dataset schemas and data models
From the employer’s posting
building large, web-scale datasets used for enabling and improving member experience
contributing and adding to the team’s suite of data products and frameworks
partner with our world-class algorithm teams to drive continuous improvement and innovation to Netflix personalization
Hands on experience with schema design and data modeling
What you’ll bring
All qualificationsCore experience
- Experience building production data systems with Spark, Flink, etc. on web-scale data
- Proficiency in at least one major programming language (e.g. Java, Scala)
- Hands-on schema design and data modeling experience
Qualification wording
Expertise in building production data systems (using Spark, Flink, etc.) on web-scale datasets.
Proficiency in at least one major programming language (e.g. Java, Scala)
Hands on experience with schema design and data modeling
Tools in this posting
- Java
- Scala
- Spark
Source — Tool mentions in context
* Expertise in building production data systems (using Spark, Flink, etc.) on web-scale datasets. * Proficiency in at least one major programming language (e.g. Java, Scala) and ability to pick up new tech skills independently. * Hands on experience with schema design and data modeling, with an unmistakable passion for elegant and intuitive dataset design.
Skills required for this role: * Expertise in building production data systems (using Spark, Flink, etc.) on web-scale datasets. * Proficiency in at least one major programming language (e.g. Java, Scala) and ability to pick up new tech skills independently.
Posting record
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- Live
- First seen by us
- Aug 11, 2026 · 79 days ago
- Recorded sightings
- 307
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on explore.jobs.netflix.net. The employer’s form will show what is required.
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Remote, OR, US
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