Senior Ads Analytics & Data Engineer

Roku; San Jose (CA); Hybrid; USD 323,000 - 428,000; Full time

Benefits offered by this job

Health insurance

Equity awards

Parental leave

Wellness benefits

Paid time off

Job summary

Roku is seeking a Senior Software Engineer for its Data Insights team in a hybrid model based in California. You will design and build data-centric applications and scalable data pipelines using Spark, Airflow, and modern data stacks.

You’ll collaborate with cross-functional teams, mentor engineers, and help advance measurement and analytics capabilities across the advertising ecosystem. The role requires a strong background in big data, distributed systems, and SQL, with experience in

Qualifications

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
• Bachelor's degree in computer science, engineering, or a related field (or equivalent experience).
• Experience with at least one of Apache Druid, StarRocks, 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.
• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
• Experience in AdTech, in advertising data platforms, and campaign measurement. (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. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)

Responsibilities

• 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.

Skills

Big data

Python

Java

Scala

Spring Boot

Cloud Platforms

Kubernetes

SQL

CI/CD

Communications

Education

Bachelor's degree in CS/Engineering

Tools

Apache Spark

Apache Airflow

Druid

StarRocks

Trino

Looker

Hadoop

Kafka

Docker

Kubernetes

Job description

Roku is seeking a Senior Software Engineer for its Data Insights team in a hybrid model based in California. You will design and build data-centric applications and scalable data pipelines using Spark, Airflow, and modern data stacks.

You’ll collaborate with cross-functional teams, mentor engineers, and help advance measurement and analytics capabilities across the advertising ecosystem. The role requires a strong background in big data, distributed systems, and SQL, with experience in