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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. Data and Insights at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. In Conversation Data and Insights, we focus on delivering data products and insights that support our Marketing business partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact. We are looking for a Senior Analytics Engineer to lead the design and implementation of robust data architectures and analytical toolings. This role will partner closely with Marketing, especially CP (Consumer Product) stakeholders and Data Engineers, Researchers, Data Scientists to transform raw data into high-quality, performant data models and insights that drive critical business understandings and decisions. What You Will Do Data Foundations: Design, build, and maintain scalable data models that serve as the source of truth for the Consumer Product team. 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. 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. Operational Balance: Manage high-impact, long-term infrastructure projects while remaining agile enough to handle ad hoc data requests. Who You Are 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. You have a strong bias to action, favoring iteration and rapid results over perfect but delayed solutions. You possess exceptional communication with technical and non-technical audiences; you can effectively influence senior stakeholders and explain complex technical concepts with clarity. 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. 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.