Job Description
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 [email protected].
The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $125800.00-$170100.00. 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.
Skills Required
- 3-5 years of experience in software systems data pipelines or backend services
- Experience with distributed data processing technologies such as Spark Kafka
- Development experience with large-scale applications using relational and non-relational databases
- Proficiency in designing and implementing reliable data pipelines and services
Rocket Companies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Rocket Companies and has not been reviewed or approved by Rocket Companies.
- Healthcare Strength—Coverage includes medical (Blue Cross Blue Shield or Kaiser in CA) dental (Delta Dental) vision (Heritage Vision) life and disability insurance and employee assistance with no‑cost mental health support. Wellbeing resources extend to pet insurance and on‑site fitness classes.
- Parental & Family Support—Paid leave supports birth adoption and fostering alongside fertility benefits and adoption assistance up to $10000. Family resources include childcare supports daycare discounts and Care.com membership.
- Leave & Time Off Breadth—Paid time off allows up to four weeks in the first year. Time away also includes seven company holidays and additional personal significance days.
Rocket Companies Insights
What We Do
Rocket Companies® is a Detroit-based company made up of businesses that provide simple fast and trusted digital solutions for complex transactions. The name comes from our flagship business now known as Rocket Mortgage® which was founded in 1985. Today we’re a publicly traded company involved in many different industries including mortgages fintech real estate automotive and more. We’re insistently different in how we look at the world and committed to an inclusive workplace where every voice is heard.
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06/06/2026
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