Data Engineer

HomeLight

Remote
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 02/08/2021
  • Website: homelight.com
  • Company Address: 100 First Street Suite 2600, San Francisco, CA, 94015

About HomeLight

HomeLight’s vision is a world where every real estate transaction is simple, certain, and satisfying. We provide software and services to home buyers, sellers, and real estate agents including HomeLight Agent Matching, the investor matching platform Simple Sale, HomeLight Home Loans, and HomeLight Closing Services. Each year, HomeLight helps hundreds of thousands of clients connect with top real estate agents, and it facilitates billions of dollars of real estate on its platform.

Job Description

Who We Are

HomeLight is a venture-backed technology startup revolutionizing the $1 trillion real estate industry. Our mission is simple – we empower people to make smarter decisions during one of life’s most important moments: buying or selling their home. 

HomeLight’s technology analyzes millions of home transactions to determine which agent or cash buyer is right for you. We also offer innovative financing and closing solutions, creating an end-to-end real estate experience that's simple, certain, and satisfying. 

We pride ourselves on our company culture – but don’t just take it from us. We’ve been recognized as a best place to work by ForbesInc. Magazine, and the San Francisco Business Times. Our team breaks barriers every day while staying committed to HomeLight's goals and core values, which is a crucial element to our shared success.

What You'll Do Here:

We are building our Data Engineering team to tackle HomeLight's diverse, data challenges. This position is an excellent opportunity for an engineer that wants to own the development, optimization, and operation of our data pipeline, which collects, processes, and distributes data to a suite of HomeLight products and teams. You will provide mission-critical data to both our algorithms and internal users, refining our product and identifying new markets. Some projects you will work on:

  • Optimize and execute on requests to pull, analyze, interpret and visualize data
  • Partner with team leaders across the organization to build out and iterate on team, and individual performance metrics
  • Optimize our data release processes, and partner with team leads to iterate on and improve existing data pipelines.
  • Design and develop systems that ingest and transform our data streams using the latest tools.
  • Design, build, and integrate new cutting edge databases and data warehouses, develop new data schemas and figure out new innovative ways of storing and representing our data.
  • Research, architect, build, and test robust, highly available and massively scalable systems, software, and services.

You Have:

  • 3+ years of Python and ETL experience, preferably Airflow
  • Experience writing and executing complex SQL queries
  • Experience building data pipelines and ETL design (implementation and maintenance)
  • Scrum/Agile software development process.

Bonus points for:

  • Expertise with Ruby on Rails.
  • Familiarity with AWS, Elasticsearch, Ruby/Rails, Django, Heroku
  • Experience setting up and managing internal API services.
  • Experience working on a small team, ideally at a startup.
  • Familiarity with the Amazon AWS ecosystem

Let’s chat!  

Send your resume and a brief note about why you’d be a good fit to [email protected]. No formal cover letters, please. We look forward to meeting you!

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.