Lead Data Engineer

New York, NY, United States • $150k - $200k • 0.010% - 0.015%

EasyKnock


Role Location

  • New York, NY, United States

Compensation

  • $150k - $200k
  • 0.010% - 0.015%

Employees

101 - 250 people

Address

215 Park Ave S Ste 1713
New York, NY, 10003, US

Tech Stack

  • Scala
  • Spark
  • Node.js
  • React
  • JavaScript
  • Python
  • AWS
  • CSS
  • HTML
  • Kubernetes
  • Docker
  • DYNAMO

Role Description

EasyKnock is a real estate technology startup disrupting the finance and real estate industries. By changing how homeownership is approached, we can help the millions of Americans trying to access their home equity. Where lenders see numbers, we see people. Our first product, Sell and Stay, is a sale-leaseback with an option to repurchase. We are the first company in the United States offering such a revolutionary and flexible program that puts consumers first. We’ve invented something so simple and yet so powerful you’ll wonder why no one came up with it before. Closing our Series A, we are poised to expand to new markets, channels and programs! About the opportunity:

EasyKnock is building a data science team to rapidly scale! The team will be gathering and processing data on homes, economic conditions, and geographies to better understand our customers and to assess risk.

The data engineer will responsible for the data processes at EasyKnock, loading data from our CRM, Marketing platforms, and 3rd party sources into a normalized schema for the data scientists to process.

Qualifications: ● 3+ years of hands-on experience designing and building large scale data warehouse solutions across the entire data lifecycle, from raw data to powerful insights and analytics. ● Experience in working with and optimizing existing data ingestion, cleansing, transformation, integration, and validation flows and helping to move them into production. ● Proficient in Scala and Spark. ● Experience with cloud computing platforms AWS (S3, EC2, Lambda, Redshift, etc) ● At least 1 year of experience functioning as a lead or senior resource on a team.

Preferred qualifications: ● Experience in productionizing machine-learning models (e.g. AWS Sagemaker) ● Knowledge about agile software processes ● Experience with Snowflake

What you'll receive: ● Competitive base salary ● Full benefits plus generous PTO ● Opportunity to be part of a fast growing company in the financial technology industry ● A chance to work with incredible teammates that are super-bright, creative, talented, and passionate

About EasyKnock

EasyKnock is a real estate technology startup disrupting the finance and real estate industries. By changing how homeownership is approached, we can help the millions of Americans trying to access their home equity. Where lenders see numbers, we see people. Our first product, Sell and Stay, is a sale-leaseback with an option to repurchase. We are the first company in the United States offering such a revolutionary and flexible program that puts consumers first. We’ve invented something so simple and yet so powerful you’ll wonder why no one came up with it before. Closing our Series A, we are poised to expand to new markets, channels and programs!

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.