About the job
As the leading platform trusted by real estate professionals, Realtor.com® has been revolutionizing online real estate for over 25 years. We seamlessly connect buyers, sellers, and renters with invaluable insights and expert guidance to help them find their ideal home. Our comprehensive suite of tools not only transforms the real estate industry but also simplifies the home-buying journey for consumers, ensuring a user-friendly experience that empowers informed decision-making.
Join us in our mission to facilitate homeownership by breaking barriers, fostering meaningful connections, and instilling confidence through expert guidance.
Our commitment to utilizing cutting-edge tools enables us to tackle challenges efficiently. You will leverage AI coding assistants and LLMs to enhance development speed, create boilerplate code, and resolve intricate debugging issues. This position demands critical evaluation of AI-generated results to ensure security, performance, and accuracy. You should be adept at incorporating AI tools into your workflow, minimizing repetitive tasks to concentrate on impactful architectural and strategic engineering challenges.
Your Responsibilities:
You will architect, develop, and manage backend services and data integrations that drive personalized marketing experiences across CRM and Digital Marketing channels at Realtor.com®. Your work will span the marketing technology stack, linking internal data platforms with tools that activate, measure, and optimize campaigns. You will guarantee the reliability, observability, and scalability of data pipelines, ensuring millions of users receive timely and relevant messages.
- Design, develop, and maintain backend services and data integrations that are secure, observable, and cost-effective, utilizing modern cloud patterns on AWS.
- Collaborate with data platform teams on the Snowflake and Kafka data platforms (both streaming and batch) to ensure reliable data collection, processing, and access for near real-time marketing and analytics applications.
- Contribute to streaming pipelines and consumers (e.g., Kafka/MSK) and batch workflows supported by Snowflake/DBT/Airflow/Hightouch, focusing on accuracy, performance, and operational excellence.
- Implement and enhance CI/CD pipelines on the company’s deployment platform (CircleCI, GitHub + Argo), promoting paved-path adoption, test automation, and safe deployment.
