Senior Data Engineer

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San Jose, CaliforniaPosted Today

Role Overview

Roku is hiring a Senior Data Engineer. This is a full-time role in San Jose, California. Part of Roku's Data Engineering hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Data Engineering roles is $173k-$225k (based on 13 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

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PythonSQLAWSGCPApacheKafkaSparkAirflow

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

The mission of Roku's Data Engineering team is to develop a world-class big data platform that enables internal and external customers to 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 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

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, as well as 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 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, 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
Design and build quality data solutions and refine diverse datasets into simplified data models that encourage self-service analytics
Develop data pipelines that optimize for data quality and are resilient to poor-quality data sources
Own data mapping, business logic, transformations, and data quality standards
Perform low-level systems debugging, performance measurement, and optimization on large production clusters
Participate in architecture discussions, influence the product roadmap, and take ownership and responsibility for new projects
Maintain and support existing platforms and drive evolution to newer technology stacks and architectures

We're excited if you have

8+ years of professional experience as a Data Engineer
Extensive SQL skills with the ability to write complex, optimized queries
Proficiency in at least one scripting language, with Python preferred
Extensive experience with big data technologies such as Hadoop (HDFS, YARN, MapReduce), Hive, Kafka, Spark, Airflow, and Presto/Trino
Deep expertise in Apache Spark, including performance tuning, optimization, and building scalable batch and streaming data pipelines
Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures
Experience collaborating with cross-functional teams such as developers, analysts, and operations to deliver results
BS in Computer Science or a related field; MS in Computer Science preferred
Experience with AWS, GCP, or Looker
AI literacy and an AI growth mindset

#LI-JC5

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 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.

About Roku

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Frequently Asked Questions

How do I apply for the Senior Data Engineer position at Roku?

Use the Apply button above to submit your application directly to Roku. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Data Engineer position at Roku located?

This position is based in San Jose, California. Roku has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Data Engineer at Roku earn?

Roku has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Data Engineer role at Roku posted?

This role was posted on July 12, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Data Engineer role at Roku require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Roku lists their specific requirements in the description below, so review the must-have qualifications closely before applying.