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

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

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)

Hybrid

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.
Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.
Not every benefit is available in all locations or for every role.
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law.
Applicants can unsubscribe from communications by emailing WorkforcePrivacy@Roku.com.

Roku is hiring a Senior Data Engineer