Data Engineer, People Analytics

Maven Ventures; Washington (District of Columbia); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Zoom is seeking a data engineer to design and maintain the data infrastructure powering workforce insights for the People Experience organization. You will transform raw HR data into analytics-ready datasets and ensure data quality across growing pipelines.

You will collaborate with analysts and stakeholders to deliver scalable solutions, leveraging SQL, Python, Airflow, dbt, and AWS data services to support decision making for talent acquisition, development, and retention.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
• 5+ years of experience in data engineering.
• Expert-level SQL and Python proficiency.
• 2+ years with Airflow and dbt for data transformation.
• Strong expertise in AWS data services and cloud infrastructure.
• Experience with HR data and people analytics metrics; familiarity with Workday, Tableau or Power BI, or ML concepts is a plus.

Responsibilities

• Design and implement robust ETL pipelines to integrate data from multiple HR systems and sources.
• Develop optimized data models and schemas to support analytics and reporting.
• Build and maintain scalable data infrastructure for 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 data quality checks and monitoring for accuracy and reliability.
• Collaborate with analysts to transform raw data into actionable business insights.

Skills

SQL

Python

Airflow

dbt

ML concepts

Workday

Tableau

Power BI

Education

Bachelor's degree in CS or related field or equivalent experience

Tools

AWS

Job description

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.

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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