Aimed at senior data engineers who thrive in fast-paced environments and have deep expertise in big data technologies and AI toolchains.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Roku
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
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 Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
About the role
As a Senior Data Engineer on the Viewer Product Data Engineering team, you will play a pivotal role in designing data models and building scalable pipelines to capture business metrics across Roku devices, Roku-powered TVs, web, and mobile clients. Your work will enable data-driven decisions that shape the content discovery and viewing experience for millions of users worldwide. You will build and maintain highly scalable, fault-tolerant distributed data processing systems that handle tens of terabytes of data ingested daily and a petabyte-scale data warehouse. By delivering trusted, high-quality data products, you will help teams understand which product features resonate most with users, measure their impact, and uncover opportunities to continuously improve the Roku experience. You will also participate in architecture discussions, influence the product roadmap, and take ownership of new projects from inception to delivery. This is an exciting opportunity for a data engineering professional who thrives in a fast-paced environment and is passionate about solving complex data challenges at scale.
For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
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 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
p]:inline" data-streamdown="list-item">Build highly scalable, available, and fault-tolerant distributed data processing systems (batch and streaming) that process tens of terabytes of data daily and manage a petabyte-scale data warehouse
p]:inline" data-streamdown="list-item">Design and build quality data solutions and refine diverse datasets into simplified data models that encourage self-service analytics
p]:inline" data-streamdown="list-item">Develop data pipelines that optimize for data quality and are resilient to poor-quality data sources
p]:inline" data-streamdown="list-item">Own data mapping, business logic, transformations, and data quality standards
p]:inline" data-streamdown="list-item">Perform low-level systems debugging, performance measurement, and optimization on large production clusters
p]:inline" data-streamdown="list-item">Participate in architecture discussions, influence the product roadmap, and take ownership and responsibility for new projects
p]:inline" data-streamdown="list-item">Maintain and support existing platforms and drive evolution to newer technology stacks and architectures
We're excited if you have
p]:inline" data-streamdown="list-item">8+ years of professional experience as a Data Engineer
p]:inline" data-streamdown="list-item">Extensive SQL skills with the ability to write complex, optimized queries
p]:inline" data-streamdown="list-item">Proficiency in at least one scripting language, with Python preferred
p]:inline" data-streamdown="list-item">Extensive experience with big data technologies such as Hadoop (HDFS, YARN, MapReduce), Hive, Kafka, Spark, Airflow, and Presto/Trino
p]:inline" data-streamdown="list-item">Deep expertise in Apache Spark, including performance tuning, optimization, and building scalable batch and streaming data pipelines
p]:inline" data-streamdown="list-item">Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures
p]:inline" data-streamdown="list-item">Experience collaborating with cross-functional teams such as developers, analysts, and operations to deliver results
p]:inline" data-streamdown="list-item">BS in Computer Science or a related field; MS in Computer Science preferred
p]:inline" data-streamdown="list-item">Experience with AWS, GCP, or Looker
p]:inline" data-streamdown="list-item">AI literacy and an AI growth mindset
#LI-JC5
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
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.
The Roku 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
Source: Roku careers