Senior Data Engineer

Roku • Austin, TX

1d • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• 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.

Responsibilities

• 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

Benefits

• global access to mental health and financial wellness support and resources
• healthcare (medical, dental, and vision)
• life, accident, disability
• commuter
• retirement options (401(k)/pension)
• time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior