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 develop and maintain 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 senior engineers and tech leads to implement reliable, scalable solutions using technologies such as Spark, Python/Java, Airflow, and cloud data platforms. This role is ideal for an early-career engineer who is excited to learn distributed systems and data engineering while contributing to real-world systems that impact millions of users.
About the Role
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 data processing applications using technologies such as Spark, Python/Java, and workflow orchestration tools (e.g., Airflow/Windfarm) to support machine learning, product features, and analytics.
Collaborate with senior engineers and tech leads to improve the reliability, performance, and monitoring of Redfin’s data platform and batch processing infrastructure.
Help modernize legacy data systems by migrating pipelines and datasets to Redfin’s lakehouse architecture and standardized data frameworks.
Contribute to internal tools and services that enable other engineering teams to discover, access, and use data efficiently across Redfin’s platform.
About You
You have 1–3 years of experience building software systems, data pipelines, or backend services and are interested in growing your skills in data engineering and distributed systems.
You have experience working with relational or non-relational databases and are excited to learn technologies commonly used in modern data platforms such as Spark, Python/Java, SQL, Airflow, and cloud infrastructure.
You enjoy working with large datasets and are curious about how data powers machine learning, product features, and analytics across an organization.
You are eager to learn from experienced engineers, collaborate with teammates, and contribute to improving the reliability and scalability of shared data systems.
You take pride in writing clean, reliable code and care about data quality, system reliability, and building tools that help other teams work more effectively.
You are curious and motivated to grow, willing to explore new technologies and approaches as Redfin evolves its modern data platform and lakehouse architecture.
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 Careers@Rocket.com.
The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $107,400.00-$145,200.00. 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.