Analytics Engineer 5 - Content & Studio
Remote, OR, US
- Pay
$330,000–566,000/yearAnnual period assumed · Location-specific pay — pay source
* You are proactively learning and adopting AI capabilities to supercharge your workflow. 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 $330,000.00 - $566,000.00. 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 postingDesign, build, and maintain scalable data models as the source of truth for Consumer Product
Translate ambiguous business requests into concrete data products
Build dashboards and custom data tools such as Plotly Dash apps
Apply CI/CD, testing, version control and monitoring to data solutions
Balance long-term infrastructure projects with ad hoc data requests
From the employer’s posting
Design, build, and maintain scalable data models that serve as the source of truth for the Consumer Product team.
You have a strong ability to translate ambiguous business requests into concrete data products.
Able to transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash)
ensuring reliability through engineering best practices like CI/CD, testing, version control and monitoring.
Manage high-impact, long-term infrastructure projects while remaining agile enough to handle ad hoc data requests.
Tools in this posting
- Python
- SQL
- Plotly
Source — Tool mentions in context
* Analytical Rigor and Visual Storytelling: Able to transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash) that drive business decisions. * Engineering Excellence: Deliver scalable data solutions by merging advanced SQL and Python proficiency with data engineering workflows, ensuring reliability through engineering best practices like CI/CD, testing, version control and monitoring. * Business Strategy: Proactively bring data-driven perspectives to the table that challenge assumptions, uncover growth opportunities, and shape the future direction of Netflix Consumer Products.
* You have 5+ years of experience with an advanced degree in a quantitative field (e.g., Engineering, Mathematics, CS) or 8+ years of relevant professional experience. * You are an expert in SQL and possess deep experience with Python for data manipulation and automation. * You have a strong ability to translate ambiguous business requests into concrete data products.
* Cross-Functional Partnership: Partner with Business Stakeholders, Product Engineering, and Data Scientists/Data Engineers to understand data needs and translate complex business requirements into technical data solutions. * Analytical Rigor and Visual Storytelling: Able to transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash) that drive business decisions. * Engineering Excellence: Deliver scalable data solutions by merging advanced SQL and Python proficiency with data engineering workflows, ensuring reliability through engineering best practices like CI/CD, testing, version control and monitoring.
Posting record
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- Live
- First seen by us
- Aug 3, 2026 · 87 days ago
- Recorded sightings
- 307
- Last seen by us
- Oct 29, 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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Job description
Source details
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- Pay
* You are proactively learning and adopting AI capabilities to supercharge your workflow. 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 $330,000.00 - $566,000.00. 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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