Job Overview
Location
Remote within the US
Job Type
Full-time
Category
Software Engineering
Date Posted
April 30, 2026
Full Job Description
đź“‹ Description
- • As a Senior Data Engineer at Apartment List, you will build and operate reliable, scalable data systems that power analytics, experimentation, and decision-making across the company, directly impacting how renters find homes and how partners connect with qualified users.
- • You will design, build, test, and deploy scalable data pipelines using Apache Airflow, BigQuery, and DBT; own medium-sized data platform initiatives end-to-end; monitor and optimize pipeline performance and cost; and collaborate with Analytics Engineering, Data Science, Product, and Engineering teams to ensure data reliability and quality.
- • Apartment List is the premier rental matchmaker leveraging cutting-edge technology and generative AI to connect renters with ideal properties while empowering partners with data-driven tools—your work will support scalable, high-integrity data infrastructure that enables business-wide innovation.
- • In this role, you will deepen your expertise in cloud data platforms, pipeline orchestration, data modeling, and observability; gain end-to-end ownership experience; contribute to platform reliability and cost efficiency; and grow as a trusted technical partner across cross-functional teams.
Skills & Technologies
About Apartment List, Inc.
Apartment List is a leading online marketplace dedicated to simplifying the apartment search process for renters and property managers. The platform utilizes a data-driven approach to match renters with apartments that best fit their preferences, budget, and location needs. By providing comprehensive listings, virtual tours, and personalized recommendations, Apartment List aims to reduce the stress and time involved in finding a new home. For property managers, the service offers tools to attract qualified leads, manage listings efficiently, and streamline the rental application process, ultimately helping to fill vacancies faster and reduce operational costs within the residential real estate industry.
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