Senior Data Engineer

We need to output HTML fragment with sections: About the team, About the role, How will I use AI at Roku?, What you'll be doing, We're excited if you have, What's Roku's approach to hybrid working?, What are some of the benefits?, Accommodations, What should I know about Roku's culture? Possibly also "About the team" etc. We must not repeat job title. No Job ID. Remove boilerplate like EEO, legal, application instructions, cookie/navigation, etc. Also remove duplicated lines. Keep all substantive info. We need to use

for section headings. Use

• for any list of duties/requirements/benefits. Use

  for prose. We must not create sections for Pay/Schedule/Benefits unless posting actually states them. Benefits are stated (some description). So we can include Benefits section. Schedule: hybrid working described, we can include a section maybe "Hybrid Working" but the instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. They gave examples but we can use other headings? The instruction: "use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It suggests we can use those headings, but not required to limit to those; we can use other headings as needed, but likely they expect those. However we have sections like About the team, About the role, How will I use AI at Roku?, What you'll be doing, We're excited if you have, What's Roku's approach to hybrid working?, What are some of the benefits?, Accommodations, What should I know about Roku's culture?. Those are not exactly the list but could be okay. The instruction says "use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It doesn't forbid other headings, but to be safe we could map content to those standard headings where possible. Let's map: - About the team -> could be "About the team" (not in list but okay). Could also be "About the role"? No, that's separate. We'll keep About the team. - About the role -> heading About the role. - How will I use AI at Roku? -> maybe "AI Usage" but not in list. Could be "Skills"? Not exactly. Might be better to keep as a heading. - What you'll be doing -> Responsibilities. - We're excited if you have -> Requirements or Qualifications. - What's Roku's approach to hybrid working? -> Schedule. - What are some of the benefits? -> Benefits. - Accommodations -> maybe keep as a section. - What should I know about Roku's culture? -> maybe "Culture" but not in list; could be omitted? But we must preserve ALL substantive information. So we need to include it. Could use a heading like "Culture". Not in list but acceptable. We must not create Pay section because not mentioned. We must not include filler like "commensurate with experience". Not present. We need to remove boilerplate: lines like "By providing your information, you acknowledge..." etc. Also "Accommodations" section includes text about reasonable accommodations; we keep that as substantive? It's about accommodations; it's not boilerplate? It's a statement about accommodations; we can keep. We also need to remove duplicated lines. There's some duplication: early paragraph repeats mission etc. We'll need to deduplicate. Let's extract substantive content. Original text: "Teamwork makes the stream work. Roku is changing how the world watches TVRoku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the teamThe mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As a Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capture different business metrics across different Roku Devices. About the roleRoku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and licensing arrangements with TV brands and pay-TV operators. With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success. This role is based in Bangalore, India, and requires hybrid working, with 4 days in the office.How will I use AI at Roku?At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact.We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.What you'll be doingBuild highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day, and a petabyte-sized data warehouseBuild quality data solutions and refine existing diverse datasets to simplified data models, encouraging self-serviceBuild data pipelines that optimize on data quality and are resilient to poor quality data sourcesOwn the data mapping, business logic, transformations, and data qualityLow-level systems debugging, performance measurement & optimization on large production clustersParticipate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projectsMaintain and support existing platforms and evolve to newer technology stacks and architecturesWe're excited if you haveExtensive AI SkillsExtensive SQL SkillsProficiency in at least one scripting language, Python, is requiredExperience in big data technologies like Spark, Airflow, Presto, etc. Preference for SparkProficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures. Experience with AWS, GCP, and Looker is a plusCollaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables8+ years of professional experience as a data EngineerBS in Computer Science; MS in Computer Science preferredAI Literacy / AI growth mindset What's Roku's approach to hybrid working?Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits?Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. AccommodationsRoku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. What should I know about Roku's culture?Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com." We need to remove boilerplate: the last paragraph about providing information, privacy notice, unsubscribe. Also maybe the line "To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet." That's maybe not boilerplate but could be considered a link; but it's substantive? It's a reference; we could keep it? The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The link to factsheet is not boilerplate; it's extra info. Might keep. Also need to remove duplicated lines: early part repeats mission etc. We'll need to ensure we don't repeat same sentences. Let's craft sections:

  About the team

  The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As a Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capture different business metrics across different Roku Devices.

  About the role

  Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and licensing arrangements with TV brands and pay-TV operators. With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success. This role is based in Bangalore, India, and requires hybrid working, with 4 days in the office.