Job description

Teamwork makes the stream work. Roku is changing how the world watches TV Roku 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 team Roku's Data Engineering team develops a world-class big data platform so 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 millions of players sold across many countries, thousands of streaming channels, and billions of hours watched over the platform, building a 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 doing Build 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 warehouse Build quality data solutions and refine existing diverse datasets to simplified data models, encouraging self-service Build data pipelines that optimize for data quality and are resilient to poor-quality data sources Own the data mapping, business logic, transformations, and data quality Low-level systems debugging, performance measurement & optimization on large production clusters Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects Maintain and support existing platforms and evolve to newer technology stacks and architectures We're excited if you have Extensive AI Skills Extensive SQL Skills Proficiency in at least one scripting language, Python, is required Experience in big data technologies like Spark, Airflow, Presto, etc. Preference for Spark Proficiency 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 plus Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables 8+ years of professional experience as a data Engineer BS in Computer Science; MS in Computer Science preferred AI Literacy / AI growth mindset #LI-SG1 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. Accommodations Roku 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 weareroku.com . 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 .

Requirements

Must-haves

Teamwork makes the stream work.
Roku is changing how the world watches TV
About the team
How will I use AI at Roku?
What you'll be doing
Build 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 warehouse
Build quality data solutions and refine existing diverse datasets to simplified data models, encouraging self-service
Build data pipelines that optimize for data quality and are resilient to poor-quality data sources
Own the data mapping, business logic, transformations, and data quality
Low-level systems debugging, performance measurement & optimization on large production clusters
Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
Maintain and support existing platforms and evolve to newer technology stacks and architectures
We're excited if you have
Extensive AI Skills
Extensive SQL Skills
Proficiency in at least one scripting language, Python, is required
Experience in big data technologies like Spark, Airflow, Presto, etc. Preference for Spark
Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures .
Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
8+ years of professional experience as a data Engineer
AI Literacy / AI growth mindset
What's Roku's approach to hybrid working?

Nice-to-haves

Experience with AWS, GCP, and Looker is a plus
BS in Computer Science; MS in Computer Science preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpythonawsgcp

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Wellness