Senior Data Engineer, Python, Spark

Overview

In this role you will design and build scalable data pipelines and models to surface metrics across Roku devices and platforms, enabling data-driven decisions. You’ll contribute to a world-class data platform that supports internal and external partners, helping understand feature resonance and improve user experiences. You will influence the product roadmap through architecture discussions and own initiatives end-to-end. Join a fast-growing company shaping how the world watches TV and collaborate with cross-functional teams.

Pay / Benefits

• global mental health and financial wellness resources
• healthcare (medical, dental, vision)
• retirement options
• flexible Fridays for remote work
• local leave policies and personal needs support
• accommodations available

Responsibilities

• Build scalable, fault-tolerant batch and streaming data processing systems handling tens of terabytes daily
• Design robust data solutions that translate complex datasets into self-service models
• Develop pipelines ensuring high data quality and resilience to imperfect source data
• Define and maintain data mappings, business logic, transformations and data quality standards
• Debug low-level systems, measure performance and optimize large production clusters
• Participate in architecture discussions and own initiatives from concept to delivery
• Maintain and evolve existing platforms, introducing modern technologies and architectures

Key requirements

• Strong SQL skills
• Proficiency in Python
• Proficiency in at least one object-oriented language
• Experience with big data technologies (HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, Presto)
• Experience with AWS or GCP; Looker is advantageous
• Solid background in data modelling for scalable architectures
• BS in Computer Science (MS preferred)

• Collaborative mindset
• Ownership and problem-solving attitude
• Ability to influence product direction
• SQL
• Python
• Object-oriented programming

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