Senior Data Engineer - Online

Senior Data Engineer – Online

What you can expect

We are seeking a Senior Data Engineer to build and scale a modern data platform supporting product analytics, lifecycle marketing, ecommerce insights, and machine learning pipelines in a SaaS environment. The role requires solid hands-on experience with cloud data stacks and close collaboration with product, marketing, and ML teams.

The work includes a mix of new pipeline development and the maintenance and evolution of long-lived pipelines, with a strong emphasis on correctness, stability, and thoughtful iteration. You’ll operate in areas where data issues can directly affect product workflows or customer experiences, making high data quality, proactive monitoring, and operational rigor essential.

About the Team

The Online Data team owns the data foundations that support online product experiences, lifecycle marketing, and revenue analytics. Our domain includes workflows that directly affect product operations and customer interactions, not just reporting.

We work primarily in Snowflake ,Databricks , DBT, with Airflow-based orchestration, and place a solid emphasis on proper dimensional modeling, consistent business definitions, and clearly defined ownership boundaries. The team values engineer who take a long-term view of data systems and help raise the bar through thoughtful design, code reviews, and shared standards.

Responsibilities

• Designing, building, and maintaining scalable data pipelines using Airflow, Spark, and Databricks, including ML pipelines for feature engineering, training, and inference

• Developing ELT workflows and analytics-ready data models with dbt, architecting and optimizing Snowflake schemas for performance and cost

• Building and managing pipelines for product telemetry and event-based data (users, sessions, events), supporting ecommerce metrics such as orders, subscriptions, revenue, and LTV

• Enabling lifecycle marketing analytics (acquisition, activation, retention, churn) with reliable, high-quality data

• Ensuring data quality, reliability, monitoring, and cost optimization across the data platform

• Collaborating with Product, Marketing, Analytics, and ML teams, mentoring junior engineers, and contributing to data architecture decisions

What we’re looking for

• Possess experience with Snowflake, dbt, Apache Airflow, solid SQL, and data modeling, working with Apache Spark / PySpark and Databricks

• Handle event-driven, telemetry, and product analytics data, including ecommerce data models and SaaS business metrics (MRR, ARR, churn, retention)

• Apply workflow orchestration, monitoring, data quality best practices, and using data observability tools

• Build and maintain machine learning model pipelines and supports lifecycle marketing analytics

• Operate across cloud platforms (AWS, Azure, GCP) and implementing CI/CD for data pipelines

• Leverage streaming platforms such as Kafka and Kinesis

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.