Data Engineer, People Analytics
Zoom
Listing collected from Zoom's career site. NextChapter is independent of Zoom.
Remote · Washington, DC · Posted October 21, 2026
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Where Washington, DC ranks
Where Washington, DC placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities hosting the most business conferences in the Mid-Atlantic104 conferences · of 12
- #1Cities hosting the most government & public sector conferences18 conferences · of 29
- #1Cities hosting the most accounting & audit conferences8 conferences · of 14
- #1Cities hosting the most finance conferences9 conferences · of 24
- #1Cities hosting the most legal conferences10 conferences · of 10
- #2Best cities for sales pay after cost of living$169k · of 45
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 302 open data engineer listings that state pay, the middle half runs $112,500 to $159,000 and the median is $132,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
What You Can Expect Join Zoom's People Analytics team and help shape how data informs decisions about our most important asset, our people. In this role, you will architect and maintain the data infrastructure that powers workforce insights for Zoom's People Experience organization, turning raw HR data into reliable, analytics-ready datasets. You will collaborate closely with analysts and business stakeholders to ensure data quality, pipeline reliability, and scalable solutions that keep pace with a growing, dynamic organization. This is a role where technical rigor and human impact intersect, and where your engineering work directly influences how Zoom attracts, develops, and retains its talent.
About the Team
Zoom's People Analytics team sits within the IT organization and partners across the People Experience (PX) function to deliver data-driven insights on workforce trends, talent acquisition, and organizational health. The team combines deep technical expertise with a genuine commitment to using data to drive meaningful outcomes for Zoom's global workforce.
Responsibilities
Design and implement robust ETL pipelines to integrate data from multiple HR systems and sources
Develop optimized data models and schemas that support analytics and reporting requirements
Build and maintain scalable data infrastructure to enable people analytics initiatives
Manage Airflow workflows for pipeline orchestration and dbt models for data transformation
Create and optimize complex SQL queries for data analysis and reporting
Implement comprehensive data quality checks and monitoring systems to ensure accuracy and reliability
Partner with analysts to transform raw data into actionable insights for business stakeholders
What We're Looking For
Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience
5+ years of experience in data engineering
Expert-level proficiency in SQL and Python for data manipulation and analysis
2+ years of hands-on experience with both Airflow for pipeline orchestration and dbt for data transformation
Strong expertise in AWS data services and cloud infrastructure
Proven track record of translating complex business requirements into scalable, production-grade data solutions
Experience with HR data and people analytics metrics; familiarity with Workday, data visualization tools (such as Tableau or Power BI), or machine learning concepts is a plus
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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