Senior Software Engineer (Ads Analytics)

• The Data Insights team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams
• We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions
• Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics
• We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing
• In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions
• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows
• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews
• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow
• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance
• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets
• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency
• 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 software and data engineering

Benefits

• Medical, wellness and financial benefits
• Free snacks and access to the company fitness center
• Unlimited paid time off policy
• Work from home opportunities

• The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results
• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience)
• Expertise with atleast one of the following Apache Druid, StarRocks, and Trino
• Strong programming skills in Python, Java, or Scala. (preferred)
• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
• Exceptional problem-solving abilities and the capacity to work independently or collaboratively
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
• Familiarity with additional big data technologies, including Hadoop and Kafka
• Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
• Strong understanding of SOLID principles and distributed systems architecture
• Proven experience in distributed data processing, data warehousing, and real-time data pipelines
• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
• Advanced SQL skills, with expertise in query optimization for large datasets
• Excellent verbal and written communication skills
• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow