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.
- 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
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
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
The ability to propose and test hypothesis to problems, and
drive toward the best solution whilst starting with incomplete
Experience with building resilient and reliable systems or data
A focus on rapid delivery without sacrificing technical
- Care for modular, performant and testable code