Data Engineer
New York City HQ, United States
Data Engineer,
New York City HQ, United States

Our Vision

INTURN is the leading global platform that standardizes the way the retail industry plans shops and transacts off price inventory

Job summary:

 

In this role they will model and report on data generated by INTURN's platform and internal applications. Help INTURN manage the brokerage of millions of dollars of merchandise and complexities of a rapidly growing business. Collaborate with our world-class design team and engineers.  They know SQL and data modeling like the back of your hand. They are a quick and willing to learn new technologies and have the examples to prove your aptitude. They are not tool-centric; They determine what technology works best for the problem at hand and apply it accordingly. Extract, transform, and  load  data  from  a  wide  variety  of  data  sources  using  SQL/Python.  Own  the  design, development, and maintenance of ongoing metrics, reports, analysis, dashboards, etc. to drive key business decisions. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for Business Users.

Technologies we use: SQL, Python, Redshift, Looker, PostgreSQL, AWS, R, Git

Key Qualifications

  • 3+ years of work experience writing advanced SQL, data modeling, data mining (SQL, ETL, data warehousing) and using databases in a business environment with complex datasets
  • Very strong experience with Looker or similar BI
  • Experience building complex data models and automating data extraction from multiple sources
  • Ability to create dashboards and reports in an actionable way to drive business change
  • Experience working with a wide range of predictive and decision models and data mining techniques using Python or R
  • Experience with building Data Warehouses in Oracle, Redshift or similar database
  • Passion and enthusiasm for analyzing large data sets and making actionable recommendations
  • Proven ability to identify relationships within large, not obviously related data sets
  • Willingness to learn and try new technologies
  • Computer Science or related degree is preferred

Bonus

  • Familiarity with Amazon Web Services (AWS)
  • Experience with one or more of the following: Bayesian methods, collaborative filtering, decision trees, clustering
  • Previous start up experience

Education

  • BA/BS is required
  • Advanced degree is a plus

Benefits & Perks

  • Personal Development Spend (800/year)
  • Wellness stipend including mental and physical health ($150/month)
  • Sabbatical (after 4 years you get an additional month off) 
  • Medical, dental, and vision health care
  • Paid Parental leave (12 weeks)
  • 401K retirement plan
  • Paid vacation days: 18
  • Unlimited sick time (Humans First! policy)
  • Equity options
  • Company outings & summer events
  • Friday lunches... #noms

 

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