Big Data Engineer

Thank you

What you can expect

• 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

• Designing, developing, and maintaining ETL processes and data pipelines for structured and unstructured data. Also optimizing data warehouses and analytical data models.

• Writing and tuning complex SQL queries to support analytics, reporting, and application needs.

• Collaborating with stakeholders to translate business thinking into data transformations and workflows.

• Implementing distributed data processing solutions using Apache Spark and Apache Flink with Scala or Python.

• Building streaming and messaging solutions using Apache Kafka.

• Working with and optimize solutions in the big data ecosystem (e.g., Hive, Presto, HDFS, Parquet, ORC).

• Deploying and manage workloads using Kubernetes (K8s) in cloud or hybrid environments.

• Developing scripts in Linux/Unix shell for automation and data processing tasks.

What we’re looking for

• Demonstrate Bachelor’s in Computer Science, Data Engineering, or a related field, OR 1–3 years of relevant professional experience.

• Apply your expertise in ETL design, development, and data warehousing concepts.

• Demonstrate your expertise in SQL by writing and optimizing complex queries.

• Apply your deep expertise in Python programming, with a focus on object-oriented principles.

• Leverage your experience with distributed data processing frameworks like Apache Spark and Apache Flink.

• Showcase your experience with AWS or other major cloud platforms.

• Exhibit proficiency in Linux/Unix shell scripting.

• Utilize your solid understanding of the big data ecosystem, including tools like Hive, Presto, Hadoop, HDFS, Parquet, and ORC.

Salary Range or On Target Earnings:

Minimum:

Maximum:

In addition to the base salary and/or OTE listed 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 & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is 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. Click Learn for more information.

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.
We’re 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. We’re 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 know—we’re 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 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.

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