Data Engineer
Company: Zoom
Location: San Jose
Posted on: April 1, 2026
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Job Description:
What you can expect This role will be part of the Enterprise
Applications team and will be collaborating closely with other data
analysts, data scientists and data engineers to support Marketing
transaction system. The Enterprise Applications team works cross
functionally with business stakeholders, data teams, Marketing, IT,
and Product teams. You'll need strong skills in data integration,
problem-solving, and communication and transforming business
requirements into robust technical implementations. About the Team
You'll be part of the enterprise marketing and architecture team
that delivers best-in-class technology solutions supporting global
marketing initiatives. Our team develops marketing business and
system capabilities spanning customer profiling, journey mapping,
campaign execution, omnichannel engagement, lead management, data
insights, and ROI measurement. Our impact is evident in seamless
user experiences, streamlining processes, and supporting Zoom's
growth in communication and collaboration. Responsibilities
Designing, developing, and maintaining enterprise-grade ETL/ELT
data pipelines that power marketing transactions and attribution
models. Unifying customer data across the Zoom ecosystem and
transaction tools to enhance efficiency and address business use
cases. Transforming raw marketing data from multiple sources into
scalable, performant data models optimized for marketing
Integrating data across warehouses (Snowflake, Databricks),
transaction platforms (Salesforce), web analytics, and product
usage metrics to create a unified data ecosystem. Collaborating
with Marketing, Product, and IT teams to define data requirements
and deliver solutions that drive marketing effectiveness Developing
and optimize production-level DAGs using orchestration tools
(Airflow) to support realtime and batch marketing data workflows
Identifying Resolution & Customer 360: Maintaining unified customer
profiles through deterministic and probabilistic matching rules to
ensure consistent cross-channel customer experiences. Leveraging
Artificial Intelligence to Enhance Productivity and Accelerate
Business Use Case Implementation What we’re looking for Have
Bachelor's / Master's in Computer Science, or related technical
field. Have 8 years of experience in data engineering with
demonstrated expertise in marketing, attribution modeling, and
customer journey analysis Apply solid foundation in software
engineering principles including data structures, algorithms, CI/CD
methodologies. Hold expert-level SQL skills with proven experience
in dimensional modeling, data design, and optimization for
transaction workloads Be an expert in advanced database skills,
including complex SQL, performance optimization, and large-scale
data processing. Possess experience in data engineering and
architecture, building batch and streaming pipelines using
platforms such as Apache Airflow and Kafka. Have hands-on
experience with distributed data processing frameworks (Spark,
Hive, Trino) and cloud data platforms (AWS) Have demonstrated
expertise in digital marketing technologies, including advanced
data analytics tools and marketing automation platforms.
Problem-solving ability and a blend of technical and business
acumen. Maintain track record of building scalable data solutions
that support business-critical marketing decisions and drive
measurable ROI Salary Range or On Target Earnings: Minimum:
$124,000.00 Maximum: $271,200.00 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! Anticipated Position Close Date:
04/08/26 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.
Keywords: Zoom, San Ramon , Data Engineer, IT / Software / Systems , San Jose, California
