Data Manager Jobs at Netflix with Visa Sponsorship
Data Manager jobs at Netflix sit at the intersection of content operations, metadata architecture, and platform-scale data governance. Netflix has a consistent track record of sponsoring work visas for this function, supporting candidates across multiple visa categories throughout the application and filing process.
Find Data Manager Jobs at NetflixOverview
Showing 5 of 9+ Data Manager Jobs at Netflix
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all Data Manager Jobs at Netflix
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Manager Jobs at Netflix.
Get Access To All JobsINTRODUCTION
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.
The Analytics Platform and Experience (APeX) team is responsible for providing orchestration and compute technologies to ETL and to access nearly 1 ExaByte of data in the Netflix Warehouse. It is also responsible for the underlying table format, Iceberg (an industry-standard table format and an open-source project originating in this team), metadata, security, and the data lifecycle (janitoring, compaction, etc.). The team also owns the end-to-end development experience for data practitioners and provides scalable, self-serve analytics capabilities and platforms for Analytics Engineers and business users.
Within APeX, the Orchestration team builds and operates a reliable, cost-efficient, and easy-to-use orchestration platform that powers Netflix's analytics and machine learning workflows. We enable scheduling, orchestrating, and executing big data workflows at scale—supporting the backbone of how data is produced, transformed, and consumed across Netflix. At the core of this platform is Maestro, our next-generation workflow orchestration system. Maestro is a fully managed workflow-as-a-service (WaaS), designed and built in-house to meet Netflix’s scale and complexity. Maestro serves thousands of users—including data scientists, data engineers, ML engineers, and software engineers—powering hundreds of thousands of workflows and millions of jobs every day.
Beyond orchestration, the team is investing in higher-level abstractions. This includes an ETL framework for incremental data processing that improves data freshness and accuracy while simplifying backfills—directly impacting cost and operational efficiency. We are also advancing intelligent operations through automated error classification and GenAI-powered remediation, leveraging systems like Pensive and Nightingale.
ROLE AND RESPONSIBILITIES
- Partner to deliver the vision, strategy, and adoption of current and future technologies.
- Form trusting cross-functional partnerships to align many engineering teams and ensure our solutions meet their needs, selflessly prioritizing work beyond the scope of your own domain.
- Build, scale, and grow a team of outstanding engineers, challenge them to bring their best selves to work every day, and deliver industry-leading results in stability, performance, and efficiency.
- Balance smart risks, investment in foundational technical work, paying off tech debt, and incremental improvements to deliver timely results across multiple critical strategies.
BASIC QUALIFICATIONS
- An experienced engineering leader who can drive a team of amazing and geographically distributed engineers to do their best work while building and maintaining strong partnerships with peers and stakeholders.
- Ability to dive deep as needed to facilitate technical strategy trade-offs and zoom out to understand the big picture to shape the product.
- Experience building and running extremely reliable platform systems supporting high-scale and critical workloads, including running a 24x7 on-call, 99.95+% availability, fast response, and short mean-time-to-restore service.
- Bring rigor to decision-making and reduce ambiguity with the right mix of data collection, seeking input, farming for dissent, and making pilot investments to build understanding or confirm direction.
- Proven track record helping a team deliver timely results on critical priorities against many demands for their time, and partnering with product and engineering management to influence the right areas for investment.
- Experience building and leading software engineering teams with a focus on inclusion and diversity, ensuring that we can attract and retain the best talent from anywhere and that all voices are heard to inform our direction.
PREFERRED QUALIFICATIONS
- Experience in Orchestration, Spark, Trino/Presto, Snowflake, BigQuery, RedShift, Druid, LanceDB, and/or Big Data Analytics technologies is not a must, but very desirable.
COMPENSATION
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 $436,000.00 - $791,000.00.
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.
LEARN MORE ABOUT OUR WORK
- Maestro Blog
- 100X Faster: How We Supercharged Netflix Maestro's Workflow Engine
- Evolving from Rule-Based Classifier to Machine Learning-Powered Auto Remediation
- Maestro: Data/ML Workflow Orchestrator at Netflix (Open-Source Announcement)
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.
INTRODUCTION
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.
The Analytics Platform and Experience (APeX) team is responsible for providing orchestration and compute technologies to ETL and to access nearly 1 ExaByte of data in the Netflix Warehouse. It is also responsible for the underlying table format, Iceberg (an industry-standard table format and an open-source project originating in this team), metadata, security, and the data lifecycle (janitoring, compaction, etc.). The team also owns the end-to-end development experience for data practitioners and provides scalable, self-serve analytics capabilities and platforms for Analytics Engineers and business users.
Within APeX, the Orchestration team builds and operates a reliable, cost-efficient, and easy-to-use orchestration platform that powers Netflix's analytics and machine learning workflows. We enable scheduling, orchestrating, and executing big data workflows at scale—supporting the backbone of how data is produced, transformed, and consumed across Netflix. At the core of this platform is Maestro, our next-generation workflow orchestration system. Maestro is a fully managed workflow-as-a-service (WaaS), designed and built in-house to meet Netflix’s scale and complexity. Maestro serves thousands of users—including data scientists, data engineers, ML engineers, and software engineers—powering hundreds of thousands of workflows and millions of jobs every day.
Beyond orchestration, the team is investing in higher-level abstractions. This includes an ETL framework for incremental data processing that improves data freshness and accuracy while simplifying backfills—directly impacting cost and operational efficiency. We are also advancing intelligent operations through automated error classification and GenAI-powered remediation, leveraging systems like Pensive and Nightingale.
ROLE AND RESPONSIBILITIES
- Partner to deliver the vision, strategy, and adoption of current and future technologies.
- Form trusting cross-functional partnerships to align many engineering teams and ensure our solutions meet their needs, selflessly prioritizing work beyond the scope of your own domain.
- Build, scale, and grow a team of outstanding engineers, challenge them to bring their best selves to work every day, and deliver industry-leading results in stability, performance, and efficiency.
- Balance smart risks, investment in foundational technical work, paying off tech debt, and incremental improvements to deliver timely results across multiple critical strategies.
BASIC QUALIFICATIONS
- An experienced engineering leader who can drive a team of amazing and geographically distributed engineers to do their best work while building and maintaining strong partnerships with peers and stakeholders.
- Ability to dive deep as needed to facilitate technical strategy trade-offs and zoom out to understand the big picture to shape the product.
- Experience building and running extremely reliable platform systems supporting high-scale and critical workloads, including running a 24x7 on-call, 99.95+% availability, fast response, and short mean-time-to-restore service.
- Bring rigor to decision-making and reduce ambiguity with the right mix of data collection, seeking input, farming for dissent, and making pilot investments to build understanding or confirm direction.
- Proven track record helping a team deliver timely results on critical priorities against many demands for their time, and partnering with product and engineering management to influence the right areas for investment.
- Experience building and leading software engineering teams with a focus on inclusion and diversity, ensuring that we can attract and retain the best talent from anywhere and that all voices are heard to inform our direction.
PREFERRED QUALIFICATIONS
- Experience in Orchestration, Spark, Trino/Presto, Snowflake, BigQuery, RedShift, Druid, LanceDB, and/or Big Data Analytics technologies is not a must, but very desirable.
COMPENSATION
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 $436,000.00 - $791,000.00.
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.
LEARN MORE ABOUT OUR WORK
- Maestro Blog
- 100X Faster: How We Supercharged Netflix Maestro's Workflow Engine
- Evolving from Rule-Based Classifier to Machine Learning-Powered Auto Remediation
- Maestro: Data/ML Workflow Orchestrator at Netflix (Open-Source Announcement)
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.
See all Data Manager Jobs at Netflix
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Manager Jobs at Netflix.
Get Access To All JobsTips for Finding Data Manager Jobs at Netflix
Align your credentials to Netflix's data stack
Netflix's Data Manager roles frequently require fluency in Spark, Hive, and proprietary internal tooling built on AWS. Frame your resume around large-scale metadata management and pipeline governance, not generic data administration.
Target roles posted under content operations
At Netflix, Data Manager positions often appear under Content Operations or Studio Technology rather than a pure engineering track. Searching only under 'Data' on their careers page means missing a significant portion of relevant openings.
Confirm your visa category before applying
Netflix sponsors H-1B, E-3, TN, and F-1 OPT for Data Manager roles. Knowing which category fits your nationality and degree before your first interview lets you answer sponsorship questions confidently without stalling the offer stage.
Request LCA filing details during offer negotiation
Once Netflix extends an offer, ask HR to confirm the prevailing wage level on your Labor Condition Application. DOL wage levels directly affect your offered salary tier, and Data Manager roles typically benchmark at Level II or III.
Build a portfolio around Netflix-scale data problems
Netflix interviewers assess how you'd handle metadata consistency across millions of assets in multiple languages. Demonstrating experience with multilingual taxonomy, rights data, or content catalog normalization will differentiate you from generic data management candidates.
Use Migrate Mate to surface sponsored openings quickly
Netflix posts Data Manager roles across several team pages simultaneously. Use Migrate Mate to filter for Netflix openings that explicitly support your visa type, so you're applying to positions already cleared for sponsorship rather than chasing dead ends.
Frequently Asked Questions
Does Netflix sponsor H-1B visas for Data Managers?
Yes, Netflix sponsors H-1B visas for Data Manager roles. Netflix files petitions through the standard H-1B cap process each April, so timing your offer and hiring process to align with the USCIS registration window in March is important. If you're already in H-1B status with another employer, Netflix can file an H-1B transfer without waiting for the next cap cycle.
How do I apply for Data Manager jobs at Netflix?
Applications go through Netflix's careers portal at jobs.netflix.com. Data Manager roles appear under multiple team categories including Content Operations, Studio Technology, and Data Engineering, so search broadly. Migrate Mate also aggregates Netflix's sponsored openings in one place, filtered by visa type, which is useful if you want to confirm sponsorship eligibility before investing time in the application.
Which visa types does Netflix commonly use for Data Manager roles?
Netflix sponsors H-1B and E-3 visas most commonly for Data Manager positions, along with TN visas for Canadian and Mexican nationals whose roles fall under USMCA-qualifying occupations. F-1 OPT and CPT are also supported for candidates still in their academic authorization period. Green Card sponsorship through EB-2 or EB-3 is available for long-term employees, typically initiated after you've established yourself in the role.
What qualifications does Netflix expect for Data Manager roles?
Netflix typically expects a bachelor's degree in computer science, information management, or a closely related field. Hands-on experience managing large-scale content catalogs or metadata pipelines is weighted heavily, particularly if you've worked with multilingual datasets or rights management systems. Proficiency with distributed data tools and SQL is standard, and experience with Netflix's internal tooling ecosystem or comparable streaming platform infrastructure strengthens your application significantly.
How do I time my application around the H-1B cap cycle?
USCIS opens H-1B cap registration each March for the fiscal year starting October 1. If Netflix hires you before registration closes, your petition enters the lottery with a selection decision by April. A gap between offer and October 1 start date is common. Netflix's HR team is experienced with this timeline, so the process is structured to bridge that window without jeopardizing your employment start date.