Senior Data Engineer

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
News + Entertainment
The Role
Design, implement, and maintain data pipelines and infrastructure for Roku's experimentation platform. Build orchestrated workflows, develop distributed processing jobs, ensure data quality and observability, support cross-cloud migration and storage modernization, and collaborate with product, analytics, and engineering teams to enable scalable experiment analytics.
Summary Generated by Built In
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.


Sr. Data Engineer — Amoeba (Experimentation Platform)
 
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 Senior Data Engineer on the Amoeba team, you will contribute to Roku's experimentation platform — the system that powers A/B testing, feature rollouts, and product decision-making across every Roku surface. This position is a key role in enabling Roku's product and engineering teams to make data-driven decisions at scale.
About the role
As a Sr. Data Engineer on Amoeba, your primary responsibility will be to design, implement, and maintain the data pipelines and infrastructure that power Roku's experimentation platform. You will collaborate with cross-functional teams — product engineering, analytics, and business stakeholders — to ensure experiment data is accurate, timely, and scalable. Additionally, you will play a key role in evolving the Amoeba data architecture, optimizing large-scale workloads, and enabling self-serve experiment analytics for the broader organization.
This role requires hybrid working; you will be based in Bangalore.
What you'll be doing
  • Own and evolve the data pipelines that power Roku's experimentation platform, ingesting event and configuration data into the Big Data Platform
  • Design, build, and maintain orchestrated data workflows for experiment aggregations, metric computation, and downstream data delivery
  • Develop distributed data processing jobs for large-scale event processing and experiment analytics
  • Partner closely with Amoeba product engineering to align data contracts and ingestion patterns
  • Participate in architecture discussions, influence the Amoeba data roadmap, and take ownership of the data layer of Roku's experimentation platform
  • Support migration and modernization efforts across storage formats and cross-cloud workloads
  • Ensure data quality, freshness, and observability across all Amoeba pipelines
We're excited if you have
  • 5+ years professional experience as a data or software engineer, with more than 3 years building large-scale data pipelines in production
  • Proficiency in at least one scripting language, Python is required
  • Deep experience with big data technologies: Spark, Airflow, Hive, Kafka, Presto/Trino, HDFS
  • Experience with Cloud platforms such as AWS, GCP, or Azure — hybrid/cross-cloud experience a plus
  • Experience with experimentation platforms, A/B testing infrastructure, or event-driven data systems is a strong plus
  • Familiarity with modern table formats (Iceberg, Delta, Hudi) is a plus
  • AI literacy and an AI growth mindset
  • Ability to collaborate with cross-functional teams — product engineers, analysts, data scientists — to translate requirements into robust data solutions
  • BS in Computer Science; MS in Computer Science preferred



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 [email protected].


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 [email protected].

Skills Required

  • 5+ years professional experience as a data or software engineer, with 3+ years building large-scale data pipelines in production
  • Proficiency in Python
  • Deep experience with Spark
  • Deep experience with Airflow
  • Deep experience with Hive
  • Deep experience with Kafka
  • Experience with Presto/Trino
  • Experience with HDFS
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Experience with experimentation platforms, A/B testing infrastructure, or event-driven data systems
  • Familiarity with modern table formats (Iceberg, Delta, Hudi)
  • AI literacy and an AI growth mindset
  • Ability to collaborate with product engineers, analysts, and data scientists
  • BS in Computer Science
  • MS in Computer Science

Roku Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Roku and has not been reviewed or approved by Roku.

  • Fair & Transparent Compensation Pay is positioned as competitive across many roles, with frequent emphasis on strong base and total compensation relative to market expectations. Fair-pay perception appears comparatively stronger than overall satisfaction with the broader rewards package.
  • Healthcare Strength Healthcare coverage is framed as a standout, with sizable employer premium contributions that can reduce employee premiums significantly depending on plan choice. Preventive care and mental-health support are also described as part of the core offering.
  • Leave & Time Off Breadth Time-off offerings are presented as broad, including paid holidays, PTO, and multiple leave categories such as bereavement and family-related leave. Self-managed or “unlimited” PTO is also described for many salaried roles, supporting flexibility in taking time off.

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The Company
HQ: San Jose, CA
2,724 Employees
Year Founded: 2002

What We Do

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 around the world through direct retail sales and licensing arrangements with TV OEMs and service operators.

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