Job Expired

Job Description:

Our homes are our most valuable asset and also the most difficult to buy and sell. Knock is on a mission to make trading in your house as simple and certain as trading in your car. Started by founding team members of Trulia.com (NYSE: TRLA, acquired by Zillow for $3.5B), Knock is an online home trade-in platform that uses data science to price homes accurately, technology to sell them quickly and a dedicated team of professionals to guide you every step of the way. We share the same top-tier investors as iconic brands like Netflix, Tivo, Match, HomeAway and Houzz.

We’re seeking a passionate Data Engineer to help us design and build our “big data” infrastructure, data aggregation and ingestion platform. This platform will power our proprietary pricing algorithm and data analysis. You will integrate data from various resources, and manage full data lifecycle (ETL). You will write complex queries on that data, making sure it is easily accessible, and works smoothly. Ultimately, you will be optimizing the performance of our company’s big data ecosystem.

About Knock.com

Knock is an online home selling platform that uses data science to price homes accurately, technology to sell them quickly and a dedicated team of professionals to guide you every step of the way.

We’re looking for an entrepreneurial engineers to join Knock as an early employees. Your decisions will help shape the direction of our engineering organization for years to come. We’ll give you the responsibility and the support to help make the lives of millions of home buyers and sellers better.

Job Responsibilities:

Design, architect, build and maintain big data infrastructure and tools
Ingest large amounts of data from numerous sources
Develop complex queries to solve data mining problems
Write reliable and efficient programs to handles a broad set of big data use cases, including log analysis, MLS data analysis, operational business metrics and machine learning.
Collaborate with talented Data Scientists to implement predictive models
Build optimized ETL jobs to power front-end applications

Job Requirements:

Degree in computer science, statistics, mathematics, or similar fields
3+ years of software development experience under your belt and are comfortable learning new technologies and tools.
Programming proficiency in at least 2 of the following – Go, Python, Node.js, Scala
Strong SQL knowledge
Experience with AWS data products such RDS, Redshift, EMR
Knowledge of of setting up and maintaining distributed processing frameworks such as Spark, MapReduce, Kinesis, ElasticSearch on AWS.
Excellent communication skills
Collaborative and proactive personality
Ability to work through ambiguity and deal with shifting priorities

Bonus points for knowledge of:

Real estate markets and MLS (and tax) data
Predictive modeling
Scikit-Learn, R, TensorFlow, Pandas, NumPy

Benefits:

Fully distributed team, open to where you live and work.
Unlimited vacation and sick time
Competitive cash and stock compensation
Full medical, dental and vision benefits
Computer provided

What we can offer you:

An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives
Competitive cash and equity compensation, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time and are open to where you live and work.

We have offices in New York, San Francisco, Atlanta, Charlotte, Raleigh, and Dallas-Fort Worth with more on the way. In fact, we are proud to be a distributed company with employees in 17 different states. This is an amazing opportunity to be an integral part of building a multi-billion dollar consumer brand in an industry that is long overdue for a new way of doing things. You will be working with a passionate, mission-driven team that is disrupting the status quo.

Knock is an Equal Opportunity Employer. Individuals seeking employment at Knock are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.

Please no recruitment firm or agency inquiries, you will not receive a reply from us.