Senior Data Engineer

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.

Responsibilities

• 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

Requirements

• 8+ years of professional experience as a Data Engineer
• Extensive SQL skills with the ability to write complex, optimized queries
• 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
• Experience collaborating with cross-functional teams such as developers, analysts, and operations to deliver results

Qualifications

• BS in Computer Science or a related field; MS in Computer Science preferred
• Proficiency in at least one scripting language, with Python preferred
• AI literacy and an AI growth mindset

Skills

• Strong understanding of data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures
• Experience with AWS, GCP, or Looker
• Fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks

Benefits

• 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)

Pay

TBD

Schedule

Hybrid Work Approach