We started Knock to solve problems we faced ourselves as consumers: the process of renting an apartment sucked. It was disorganized, time consuming, and frustrating. It seemed landlords were stuck in the past and didn’t understand how to use technology to their advantage. But the problems and solutions seemed obvious to us, and we had a vision for what a better experience should be. After validating our insights with a few early customers (who became investors) we got to work partnering with real estate companies to deliver on turning that vision into reality.

Five years later, we have helped our property management customers find homes for millions of renters. We’ve developed an industry-defining SaaS platform that automates marketing, accelerates sales, lifts customer retention, and delivers critical business insights that help our customers operate their business. Our customers trust us to deliver the consumer experiences and business applications that are essential to their bottom line. The proof is in our 10x revenue growth over the past two years, in addition to our numerous industry awards. In March of 2019 we announced we raised a $10m Series A round to continue to accelerate growth and product development, led by Madrona Venture Group: https://www.geekwire.com/2019/madrona-leads-10m-round-knock-crm-communications-service-apartment-landlords/

The real estate industry is continuing to undergo an incredible technology transformation, and Knock is one of the companies driving innovation and shaping the way an entire vertical works. But even with a number of accomplishments in our past, we continue to push our vision forward and build the solutions of the future. We are on a mission to modernize the way property management companies run their businesses, by delivering the tools and insights to optimize all aspects of their sales and marketing operations. Practical uses for applied machine learning, connected IoT devices, and AI powered communication technology are all in our future here at Knock. It's a fun space with interesting problems, and provides all kinds of opportunities to get creative and build solutions our customers simply haven't seen or thought of before. If this sounds exciting, we want to hear from you!

About the role...

We are looking for a talented Data Warehouse Engineer to help build out our platform. You will work closely with the product team and engineering teams to deliver timely and accurate data to our customers.

The Knock engineering team is comprised of a number of small autonomous teams that create exceptional value for our customers. These teams include CRM, marketing, data services, partner integrations, consumer applications, mobile, and dev ops. Our product space is very stimulating - we are at the intersection of advertising, communications, consumer services, enterprise workflow, and data analytics. Our tools and applications touch every part of the consumer apartment-hunting experience, as well as every part of the back-end leasing and renewal workflows. This puts us in a very unique position to utilize advanced data science to continue to innovate and add value along the customer journey - be it predictive modeling, increased automation, or adding additional services.

We leverage a number of tools to create a cohesive development ecosystem that allows us to scale horizontally, deliver quickly, avoid regressions and maintain minimal technical debt. Our goal is 100% automated test coverage and continuous deployment, and we’re always raising the bar on quality. Below are some details about our tech stack and tooling:

Languages: Python 3, React, TypeScript, Node.js

Testing Frameworks: Jest, PyTest, CircleCI

Development/Deployment Tools: GitHub, Jira, Chef, Jenkins, Terraform, Serverless, Docker, Vagrant/Virtualbox, Prettier, Greenkeeper

Databases and Streams: Kafka, PostgreSQL, DynamoDB, Redis, Elasticsearch

Cloud Platforms: AWS, Twilio, Mailgun, Google Cloud Platform

AWS Tools: Lambda, CloudFront, CloudWatch, DynamoDB, ECS, EC2, RDS, API Gateway

Monitoring: New Relic APM, New Relic Insights, CloudWatch

Key Responsibilities

• Build, monitor and maintain data and ETL pipelines to process data from many disparate sources into a data warehouse 
• Design data schemas and structures for reporting through Tableau and other tools
• Validate data accuracy and timeliness throughout process
• Independently analyze, solve, and correct issues, providing system monitoring and problem resolution
• Work with various APIs [Google Analytics, SaaSOptics, Salesforce] to extract data into relational schema
• Work with technical and business teams to evaluate data requirements and implement them
• Evaluate new technologies and tools and make recommendations based on usefulness, opportunity and cost

Required Background, Experience and Skills

• 3+ years experience with Python and SQL
• Advanced SQL knowledge and experience working with relational databases
• Experience building and optimizing data pipelines, architectures and data sets.
• Working knowledge of message queuing, stream processing
• Experience using AWS, Redshift, PostgreSQL or Elasticsearch a plus

Knock Benefits

• Health, Dental & Medical Insurance
• Work From Home (optional 2x week)
• Flexible time off & Paid Holidays
• Gym Membership
• Stock Options
• Public transit reimbursement or limited parking near the office provided
• Equipment provided
• Team events
• Free Lunch Fridays!

At Knock we don’t discriminate on the basis of race, religion, color, nationality, gender, sexual orientation, age, marital status, veteran status, or disability status. We welcome all types!