About the role:

As a Senior Software Engineer, you will design and develop platforms, services and tools to solve a variety of challenges related to supporting rapidly growing product and infrastructure, helping design scalable services, forecasting, workflow automation, customer facing mobile application development, security and access control. It’s a critical role in ensuring that our systems are always healthy, monitored, automated, and designed to scale to the next level. You will collaborate with research, business, and design teams to understand requirements, build prototypes, invent new features and deliver highly scalable services and products for external and internal customers. We are looking for engineers with demonstrated ability to deliver results, a passion to learn, and expertise in service oriented architectures, distributed systems, machine learning, algorithms, databases and front-end technologies.

Your responsibilities:

• Contribute technically to projects.
• Take ownership for the overall planning, execution and success of complex technical projects.
• Provide technical expertise throughout the product life cycle including design, implementation and delivery of scalable build/test/release infrastructure.
• Processing large amounts of data in batch and real time to generate a highly accurate world class real estate data set.
• Understanding how to quantify uncertainty with our data.
• Deriving fields from unstructured data (e.g. extracting data from home photos and satellite images with Computer vision algorithms, extracting data from MLS remarks with natural language processing).
• Performing analysis to ensure our datasets are robust and reliable for machine learning and business use cases.
• Applying deep understanding of data processing technologies to reason about engineering / design trade offs.
• Translating strategy into product reality across multiple technology streams to deliver a single product experience to market (areas such as: Data and API Architecture, Complex Data Storage, Machine and Deep.
• Learning, Computer Vision, Robotic Navigation, Artificial Intelligence, and IoT.

We’re looking for teammates who have:

• Bachelor’s degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience
• 5+ years of track record in building and delivering production quality software systems
• A deep understanding of data processing technologies such as SQL, Spark, Hadoop, and Kafka
• Experience with Airflow, Luigi, or other ETL scheduling technologies
• The ability to propose and test hypothesis to problems, and drive toward the best solution whilst starting with incomplete information
• Experience with building resilient and reliable systems or data pipelines
• A focus on rapid delivery without sacrificing technical excellence
• Care for modular, performant and testable code