Data Application Developer

Role Description

As a DATA APPLICATION DEVELOPER you will play a key part in Zoom’s growth by enabling the Product Intelligence team to deliver timely, high-quality product usage insights that drive product growth and adoption. The Data team empowers data-informed decision-making across Zoom’s products, and this role ensures continued support for Product teams in understanding adoption trends and shaping growth strategies.

This position helps ensure compliance with consent, privacy, and regulatory standards expected by hundreds of millions of users—making it essential not only for innovation, but also for building trust at scale.

The Product Intelligence team sits at the intersection of data and product, making it an exciting and high-impact group to be part of. You’ll work closely with data engineers, analysts, scientists, and product managers to solve meaningful problems that directly shape the user experience across Zoom’s products.

This team is uniquely positioned to influence product strategy through data-driven insights and scalable analytical solutions. As a Data Application Developer, you’ll have the opportunity to work on cutting-edge data initiatives, collaborate cross-functionally, and see the real-world impact of your work on millions of users—making this a rewarding and intellectually stimulating environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Minimum of 5 years of experience in a Data Application Developer role
• Advanced proficiency in SQL and data modeling, with experience designing and optimizing scalable data models
• Good understanding of asynchronous event-driven applications & data pipelines using Kafka, SQS, Kinesis, etc.
• Strong programming skills, preferably in Python or Java, with hands-on experience building APIs and microservices
• Experience working with cloud platforms (preferably AWS), including cloud-native application development, networking, and security
• Hands-on experience with AWS services such as ECS, Fargate, CloudFormation, Lambda, etc.
• Practical experience with Infrastructure as Code tools like Terraform
• Proficiency with CI/CD pipelines, containerization (e.g., Docker), and build tools
• Familiarity with modern data engineering stacks such as dbt and Snowflake
• Exposure to AI-enabled or data-driven development environments (e.g., Windsurf, Cursor) is a plus
• Hands-on Data Application Development experience is mandatory

Requirements

• Strong experience in building data applications end to end — from designing to developing robust, cloud-native backend data services
• Solid understanding of data engineering, with the ability to build scalable data pipelines
• Creating high-quality, scalable microservices and APIs that serve both internal tools and external client applications
• Passionate about working in a fast-paced, AI-driven data environment
• Strong data engineering expertise and solid full stack software engineering skills
• Design, build, and maintain scalable ETL/ELT data pipelines
• Design and develop data applications with scalable backend data APIs
• Design and develop cloud-native, scalable data APIs on cloud (preferably AWS) to support Zoom internal applications
• Work closely with stakeholders (PM, Data analysts & Data scientists) to understand business requirements and translate them into data products
• Implement and uphold data governance practices, particularly around product usage data

Benefits

• Variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health
• Support work-life balance
• Contribute to their community in meaningful ways