Senior Software Engineer, Bigdata

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.

About the Team:

 

The Data Foundations team plays a critical role in supporting Roku

Ads

business intelligence and analytics

.

The team

is responsible for

developing

and

managing

foundational datasets

designed to serve the operational and analytical needs of the broader organization. The team’s mission is carried out through three focus areas: acting as the interface between data producers and consumers, simplifying data architecture, and creating tools

in a standardized way

.

 

About the Role:

 

We are

seeking

a talented and experienced Senior Software Engineer with a strong background in big data technologies, including Apache Spark

and

Apache Airflow. This hybrid role bridges software and data engineering, requiring

expertise

in designing, building, and

maintaining

scalable systems for both application development and data processing. You will collaborate with cross-functional teams to design and manage robust, production-grade, large-scale data systems. The ideal candidate is a proactive self-starter with a deep understanding of high-scale data services and a commitment to excellence.

 

 

**What

you’ll

be doing**

 

• Software Development:

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.

• Big Data Engineering:

• Design, develop, and

  maintain

  data pipelines and ETL workflows using Apache

  Spark,

  Apache Airflow.

• Optimize

  data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.

• Develop and fine-tune complex queries and data processing jobs for large-scale datasets.

• Monitor, troubleshoot, and improve data systems for minimal downtime and maximum efficiency.

• Collaboration & Mentorship:

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.

• Provide technical guidance and mentorship to junior engineers, promoting best practices in data engineering.

 

**We’re

excited if you have**

 

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

• 5+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow and Trino.

• Strong understanding of SOLID principles and distributed systems architecture.

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines.

• Advanced SQL skills, with expertise in query optimization for large datasets.

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively.

• Excellent verbal and written communication skills.

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)

• Familiarity with additional big data technologies, including Hadoop, Kafka, and Presto. (preferred)

• Strong programming skills in Python, Java, or Scala. (preferred)

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)

• Expertise in data modeling, schema design, and data visualization tools. (preferred)
• AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.

Our Hybrid Work Approach

Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices wit…