• 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. Big Data Engineering
• 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. 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 software and data engineering. ### We’re Excited If You Have
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). - 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. - Expertise with atleast one of the following 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. - 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 and Kafka. - 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)
#LI-RN1
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 with a five day in office policy. ### 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 and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. ### The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
