Manager, Data Engineering

Manager, Data Engineering

This job is no longer open
About Darwin Homes

At Darwin Homes, we fundamentally believe that the rental experience is broken. Too often, property management—serving as the middleman between investors and residents—often means shoddy service, hidden fees, and inefficient processes that shortchange everybody involved. Darwin was built to make residents' and owners' lives easier through an innovative ecosystem of technologies. We have created the best product in the market for residents to discover, tour, and lease their future home; and for owners to have complete peace of mind from our modern management and leasing services built around our core values of transparency and professionalism. Darwin Homes is the destination for single-family rental services for property owners and residents. 

The Team

The Darwin Homes team is composed of a diverse set of alumni from DoorDash, Square, Facebook, Apple, LinkedIn, and other top technology companies. The founders and executive team have over 30+ years of combined experience in scaling disruptive technology and operations-focused businesses. Darwin Homes was backed by top Silicon Valley venture capital (Khosla, Fifth Wall) and was acquired by Pagaya Technologies, a publicly traded company, in early 2023.  Pagaya is an AI/ML data technology company with offices in Tel Aviv, New York, and Austin.

https://blog.darwinhomes.com/posts/pagaya's-acquisition-of-darwin-homes-powers-premier-tech-enabled-single-family-rental-platformT

The Role

Darwin Homes is growing fast and we're looking for a highly motivated, intelligent, and passionate Manager, Data Engineering to join our team. We’re growing fast, and growth means the challenges we’ll work on together will change as we lead Darwin through new and different phases. This role is fully remote. 

What You'll Do

    • Grow and lead a data engineering team with a strong emphasis on mentorship, technical excellence, and client experience as your core principles
    • Provide technical leadership and guidance as the team further develops its operational excellence
    • Develop and execute strategy related to data integration in order to meet future reporting and analytic needs
    • Identify ways to make data more discoverable and easier to use for analytics
    • Lead team processes that optimize for high quality and fast velocity
    • Architect, build, and maintain our data warehouse and data pipelines
    • Build ETL pipelines that will enable and streamline regular reporting on SLAs, as well as deep analytical research
    • Provide clear documentation on data models with source, description, and field definitions for better collaboration, maintainability, and usability

What You'll Have

    • Proven experience leading data teams and projects in a fast-paced, growing environment
    • Proven experience designing and implementing scalable, performant data pipelines, data services, and data products
    • Built and maintained data warehouses with ETL/ELT pipelines
    • Experience with data modeling, data lakes, and warehouse design
    • Background in ETL and data processing, familiar with how to transform data to meet business goals
    • Have strong communication skills to collaborate with cross-functional partners and drive projects
$150,000 - $175,000 a year
This job is no longer open
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