DATA ENGINEER

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We are looking for a candidate that has a strong interest in developing data science and analytics solutions to address business problems, can interact effectively with both the technology teams, product and business units, and is passionate about new technologies. As a Data Engineer, you will help build our data infrastructure and further develop our analytics and data science capabilities. You will be involved with all stages of the data journey. The problems we routinely work on are devising new search and ranking algorithms, determining the potential worth of each of our hosts, calculating the ROI for each advertisement, and improving A/B testing when sessions span multiple days.

 

Our stack includes Clojure, Python, NodeJS, MongoDB, Docker/Kubernetes, Postgres, Google Dataflow, Google BigQuery, and Javascript (React). For reporting, we use Periscope, Metabase, Jupyter notebooks, and Google Data Studio.

 

You will work closely with the Engineering, Infrastructure and Product teams to:

 

●       Build and scale data ingestion and transformation processes

●       Transform our data into models that help all units of the company understand our performance and opportunities

●       Build datasets, tools and documentation to enable analysts in all parts of the company to build their own analytics and reports. At Peerspace everyone is an analyst!

●       Run ad-hoc analyses to support high-priority projects from internal business units

●       Provide input on new data-generating processes and help organize our data capture efforts

●       Devise and implement new algorithms and data processes to improve the performance of our marketplace (i.e. recommendation systems, search ranking)

 

In order to be successful at this job, you will need some if not most of the following experience:

 

●      Working experience in Python, R, or similar data-oriented languages, including data frameworks like tidy-verse or pandas, scikit, etc.

●      Solid experience in SQL analytics (i.e Postgres, Bigquery) (e.g. you know how to use window functions and the nuances of using date ranges)

●      Experience with data visualization tools

●      Basic knowledge big data technologies, e.g. Hadoop, Airflow, Kafka, Spark or similar

●      Strong oral and communication skills with the proven ability to teach complex information effectively

●      Working knowledge of statistical analysis and / or machine learning

●      A degree or equivalent experience in Computer Science, Math, Physics, Engineering, Life Sciences or Social Sciences.

 

 

 

●       Join the team reshaping a $500B industry

●       Work in an inclusive working environment

●       Competitive salary with employee stock options and 401k access

●       Medical, dental, and vision coverage

●       Take-it-when-you-need-it vacation and sick days

●       A flexible work environment

●       Weekly catered lunch

●       $500 annual professional development allowance

●       20% discount on all Peerspace bookings

Peerspace is a community marketplace that makes planning gatherings - starting with finding the perfect space - simple. Whether it’s a loft for a party, a rooftop for a film shoot, or an art gallery for a meeting, Peerspace empowers people to create one-of-a-kind experiences at any price point. As a two-sided marketplace, Peerspace makes it easy for individuals and businesses to monetize their underused space and share it with an audience of millions.

 

Founded in April of 2014, the company’s investors include GV, Foundation Capital, and Structure Capital.