Software Developer II - Data Platform

The Data Ingestion and Infrastructure and Management team builds integrations, infrastructure pipelines and tools to import key MLS, Property, Schools and School Ratings, climate data as well as other inventory data that have made Redfin the most trusted real-estate site in the US.

The Data Ingestion and Infrastructure team supports our Data Platform and helps build the systems that power Redfin's data ecosystem. In this role, you will design, develop, and operate data pipelines and services that ingest, process, and deliver large-scale datasets used by machine learning, analytics, and product teams. You will work closely with engineers across the organization to build reliable, scalable data systems using technologies such as Spark, Python/Java, Airflow, and cloud data platforms. This role is ideal for an engineer who enjoys solving complex data problems, improving platform capabilities, and delivering data systems that impact millions of users.

About the Role

• Design, build, and maintain scalable data pipelines that ingest, process, and organize large datasets (such as listings, clickstream, and external data sources) into Redfin's data lake and analytics platforms.
• Develop and operate distributed data processing applications using technologies such as Spark, Python/Java, and workflow orchestration tools (e.g., Airflow/Windfarm) that power machine learning, product features, and analytics.
• Take ownership of data pipelines and platform services, ensuring reliability, performance, and data quality across Redfin's data ecosystem.
• Lead the development and modernization of data pipelines by migrating legacy systems to Redfin's lakehouse architecture and standardized platform frameworks.
• Collaborate with engineers, data scientists, and product teams to design and deliver datasets and data services that enable new product capabilities and machine learning models.

About You

• You have 3-5 years of experience building software systems, data pipelines, or backend services in production environments.
• You have experience developing large-scale applications backed by relational and non-relational databases and working with distributed data processing technologies such as Spark, Kafka, or similar systems.
• You are comfortable designing and implementing data pipelines and services that operate reliably at scale.
• You collaborate effectively with engineers, data scientists, and product teams to translate business needs into scalable technical solutions.
• You care deeply about data quality, system reliability, and building maintainable systems that other engineers can easily use and extend.
• You are curious and proactive about learning new technologies and continuously improving Redfin's data platform and engineering practices.

What you'll get

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.

On-Call Expectations
This role may include participation in an on-call rotation to support production systems and ensure service reliability. On-call responsibilities may include coverage during nights and weekends. If applicable, frequency and scheduling will be determined by team needs and communicated accordingly.

About us

Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing great work in a collaborative environment, join our team!

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at View email address on click.appcast.io.

The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $125,800.00-$170,100.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here . The information regarding compensation and other benefits included in this paragraph is the company's current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.