Manager, Member Innovation - Data Engineering
Reads like a Data Leadership role: running a data team.
Remote, OR, US
- Pay
$446,000–752,000/yearAnnual period assumed · Location-specific pay — pay source
* 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.
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 postingGuide the team with business and product context and inspiration
Recruit and retain top-tier engineers for a diverse team
Coach engineers through regular feedback on strengths and weaknesses
Guide projects end-to-end from ideation to production
Build relationships with business and technical leaders across Netflix
From the employer’s posting
you leverage that to guide a team by providing relevant context and inspiration
have a knack for recognizing and attracting top-tier engineers to your team
You will coach and guide employees through their strengths and weaknesses through regular feedback.
You will help influence and guide projects from end-to-end: ideation to production.
You will continue to establish strong relationships with both business and technical leaders across Netflix.
What you’ll bring
All qualificationsCore experience
- 8+ years of data engineering experience
- 4+ years of engineering leadership experience
- Strong programming in at least one major language and SQL
- Strong people leadership skills
Qualification wording
You have 8+ years of experience in data engineering.
You have 4+ years of engineering leadership experience.
You have strong programming (at least 1 major language) and SQL experience in your background.
You are a strong people leader who also demonstrates humility.
Tools in this posting
- SQL
- Hadoop
Source — Tool mentions in context
* 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 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.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 120 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 1, 2026 · 120 days ago
- Recorded sightings
- 322
- 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.
Already applied? Track this application
Job description
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
* 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.
- Location & working pattern
Remote, OR, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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