Zoom Corporation
Overview
You will build, optimize, and maintain data pipelines using modern big data technologies like Apache Spark and Kafka to handle high-volume data and support AI. About the Team
The team is a close-knit group of seven highly experienced, senior engineers. This team powers all of Zoom's AI features and enables data-driven decision-making across the organization. You will work with seasoned engineers and analysts to deliver data solutions, leveraging modern big data, distributed processing, and cloud technologies. Responsibilities
Design, develop, and maintain ETL processes and data pipelines for structured and unstructured data. Also optimize data warehouses and analytical data models. Write and tune complex SQL queries to support analytics, reporting, and application needs. Collaborate with stakeholders to translate business thinking into data transformations and workflows. Implement distributed data processing solutions using Apache Spark and Apache Flink with Scala or Python. Build streaming and messaging solutions using Apache Kafka. Work with and optimize solutions in the big data ecosystem (e.g., Hive, Presto, HDFS, Parquet, ORC). Deploy and manage workloads using Kubernetes (K8s) in cloud or hybrid environments. Develop scripts in Linux/Unix shell for automation and data processing tasks. What were looking for
Demonstrate a Bachelors in Computer Science, Data Engineering, or a related field, OR 13 years of relevant professional experience. Apply expertise in ETL design, development, and data warehousing concepts. Demonstrate expertise in SQL by writing and optimizing complex queries. Apply deep expertise in Python programming, with a focus on object-oriented principles. Leverage experience with distributed data processing frameworks like Apache Spark and Apache Flink. Showcase experience with AWS or other major cloud platforms. Exhibit proficiency in Linux/Unix shell scripting. Utilize solid understanding of the big data ecosystem, including tools like Hive, Presto, Hadoop, HDFS, Parquet, and ORC. Salary Range or On Target Earnings
Minimum: $73,300.00 Maximum: $169,500.00 In addition to base salary and/or OTE, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus, and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications and experience. We also have a location-based compensation structure; there may be a different range for candidates in this and other locations. Closing and How to Apply
Anticipated Position Close Date: 09/12/25 Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each roleHybrid, Remote, or In-Personis indicated in the job description/posting. Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Learn more at https://careers.zoom.us/benefits About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. Were problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. Were committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us knowwere here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form at https://form.asana.com/?k=OIuqpO5Tv9XQTWp1bNYd8w&d=1127274756253361 and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. #LI-Remote #J-18808-Ljbffr
You will build, optimize, and maintain data pipelines using modern big data technologies like Apache Spark and Kafka to handle high-volume data and support AI. About the Team
The team is a close-knit group of seven highly experienced, senior engineers. This team powers all of Zoom's AI features and enables data-driven decision-making across the organization. You will work with seasoned engineers and analysts to deliver data solutions, leveraging modern big data, distributed processing, and cloud technologies. Responsibilities
Design, develop, and maintain ETL processes and data pipelines for structured and unstructured data. Also optimize data warehouses and analytical data models. Write and tune complex SQL queries to support analytics, reporting, and application needs. Collaborate with stakeholders to translate business thinking into data transformations and workflows. Implement distributed data processing solutions using Apache Spark and Apache Flink with Scala or Python. Build streaming and messaging solutions using Apache Kafka. Work with and optimize solutions in the big data ecosystem (e.g., Hive, Presto, HDFS, Parquet, ORC). Deploy and manage workloads using Kubernetes (K8s) in cloud or hybrid environments. Develop scripts in Linux/Unix shell for automation and data processing tasks. What were looking for
Demonstrate a Bachelors in Computer Science, Data Engineering, or a related field, OR 13 years of relevant professional experience. Apply expertise in ETL design, development, and data warehousing concepts. Demonstrate expertise in SQL by writing and optimizing complex queries. Apply deep expertise in Python programming, with a focus on object-oriented principles. Leverage experience with distributed data processing frameworks like Apache Spark and Apache Flink. Showcase experience with AWS or other major cloud platforms. Exhibit proficiency in Linux/Unix shell scripting. Utilize solid understanding of the big data ecosystem, including tools like Hive, Presto, Hadoop, HDFS, Parquet, and ORC. Salary Range or On Target Earnings
Minimum: $73,300.00 Maximum: $169,500.00 In addition to base salary and/or OTE, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus, and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications and experience. We also have a location-based compensation structure; there may be a different range for candidates in this and other locations. Closing and How to Apply
Anticipated Position Close Date: 09/12/25 Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each roleHybrid, Remote, or In-Personis indicated in the job description/posting. Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Learn more at https://careers.zoom.us/benefits About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. Were problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. Were committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us knowwere here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form at https://form.asana.com/?k=OIuqpO5Tv9XQTWp1bNYd8w&d=1127274756253361 and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. #LI-Remote #J-18808-Ljbffr