Senior Data Engineer

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.

What you'll be doing

• Develop, create, and modify computer applications software.
• Scratch-build a highly scalable, available, fault-tolerant data processing systems using AWS, GCP cloud technologies, HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Flink, Trino, Snowflake, and other big data technologies. These systems should handle batch and real-time data processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse.
• Build quality data solutions and refine existing diverse datasets into simplified models encouraging self-service.
• Build data pipelines that perfect data quality and are resilient to inadequate data sources.
• Partner with upstream teams to build test automation for data logging.
• Define scalable schema design and custom validators for both offline and online data validations.
• Design and develop data governance and data validation tools, frameworks, and infrastructure.
• Build a high throughput online validation framework to minimize "bad" data flowing downstream that can handle millions of events per minute.
• Support downstream teams with data quality discovery and resolution.
• Build data discovery frameworks that help with an accurate lineage of data elements and metrics. Low level systems debugging, performance measurement & optimization on large production clusters.
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects.
• Maintain and support existing platforms and evolve to newer technology stacks and architectures.

Up to two days per week telecommuting may be permitted.

You are required to have

• Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering, or related field.
• 5 years of progressive experience as a Data Engineer, Software Engineer, or related occupation.
• Will also accept Master’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering, or related field and 3 years of experience as a Data Engineer, Software Engineer, or related occupation.
• Must have at least 1 year of prior work experience in each of the following:
  1. SQL coding.
  2. Object-oriented software development using Python, Java, and Scala.
  3. Working with large-scale, high-throughput, and multi-tenant distributed systems using the following Big Data technologies: Spark, HDFS, YARN, Hive, Kafka, Flink, Airflow, ElasticSearch, Looker, and Presto.
  4. Designing and building real-time data pipelines and online validation frameworks capable of handling millions of events per minute.
  5. Solving large-scale data quality problems.
  6. Data contracts, data validation frameworks & tools, data governance tool Datahub or Alation.
  7. Data access controls, data privacy implementation, and data security standards.
  8. Cloud Technologies AWS, GCP, and Snowflake.
  9. Kubernetes-based deployments, Spark on Kubernetes, and Airflow on Kubernetes.
  10. Collaborating with cross-functional teams of developers, analysts, and operations to execute deliverables.

The annual salary for this position for Texas only is between $301,750 - $318,750

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.

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