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LendingHome

Senior Data Engineer - Remote

Pittsburgh, PA

Kiavi, formerly known as LendingHome, is one of the largest lenders to real estate investors in the United States. With Kiavi’s technology platform and innovative financing solutions, real estate investors are empowered to make informed decisions, close deals faster, and realize the full potential of their real estate investment strategies.

 

The Team 

Founded in 2013, Kiavi is committed to helping customers revitalize approximately $25 trillion worth of aged U.S. housing stock and provide move-in ready homes and rental housing for millions of Americans across the country.  We have funded $7.8 billion dollars worth of loans across about 35,000+ projects, becoming one of the nation's largest bridge loan lenders. 

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Combining our technology and industry expertise, Kiavi has grown to a team of over 400 and has won many awards over the years including Forbes Fintech 50, Finovate Awards: Best Digital Mortgage Platform, Fast Company’s Most Innovative Companies, and many more

Loans funded: More than $7.8 billion

Geography: Lends in 27 states plus Washington, D.C., which account for more than 80% of the nation’s real estate market

Homes financed: About 35,000

Principal and interest returned to investors: More than $5.18 billion

Employees: Over 400 employees

 

This position can be based anywhere in the United States—remote or in-office. Our hybrid distributed workforce philosophy allows us to find the best talent in the country and build diverse teams, while allowing our colleagues to work from the location that works best for them. For those who prefer to work in-office, we have locations in San Francisco and Pittsburgh. We also plan to use these spaces to bring together teammates to drive creativity and innovation.

The Team

Kiavi is reimagining the mortgage process from the ground up, and data is at the core of everything we do. As a Data Engineer, you will be immersed in some of the most fascinating data sets in the world. Your work is high-leverage as it impacts business strategies, loan operations, credit decisions, product offerings, and risk management.

The Role / Day to Day

  • Engineer: Architect and own large parts of our complex loan origination platform and associated web applications.
  • Maintain a high quality bar: Champion code quality through peer-reviewed designs and code, focusing on test automation using unit, integration and end-to-end testing.
  • Reduce Technical Debt: We allocate a certain percentage of each team’s time to tackling engineering initiatives focused on reducing tech debt. Every engineer contributes to these initiatives.
  • Execute: Focus on delivering high impact initiatives that provide value to the customer on a daily basis.
  • Collaborate: Work closely with our design and product teams as well as with our business stakeholders to build the right solutions for our customers.
  • Customer-first: Ensure that our customers are successful and happy.
  • Define Technical Strategy: You’ll own technical strategy for broad or complex requirements and come up with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.

Responsibilities

  • Build data pipelines that collect, connect, centralize, and curate data from various internal and external data sources
  • Manage and extend a reliable, effective, and scalable data infrastructure
  • Work closely with data scientists, product engineers, and business stakeholders to understand business needs and design/maintain scalable data models
  • Implement systems for monitoring data quality and consistency
  • Productionize machine learning models that power our data products and integrate with our suite of financial products, including our loan origination platform

Qualifications

  • 3-4+ years of applied big data experience
  • Strong software engineering experience
  • Advanced skills in Java/Scala/Python
  • Expertise in distributed database/columnar data store (Redshift/BigQuery)
  • Expertise in a modern data processing and workflow management framework (Airflow/Luigi/Azkaban)
  • Understanding of dimensional modeling and familiarity with BI tools (Looker/Tableau)
  • Experience in managing and publishing event sourced data (Kafka)
  • Excellent teamwork and communication ability
  • CS, Engineering, Math, or related quantitative discipline
  • Mortgage background not required, but eager to learn the business

Benefits and Perks 

  • Product Ownership: All employees think like an owner because all employees own equity in the company and play a critical role in making our business great.
  • Health Insurance: Our medical, dental, and vision plans are completely free for employee-only coverage, and the company pays 80% of the total premium for dependents.
  • Whole-Person Wellness: Anyone can schedule no-cost unlimited virtual therapy sessions, use a monthly subsidy for fitness facilities, and access reimbursements for fertility services.
  • Retirement Savings. Employees who participate in our “no fee” 401(k) receive an immediately-vested 
  • employer match on 100% of contributions up to 3% of compensation. 
  • Career Growth: We foster an environment that encourages opportunities to use your voice, do better for our customers and each other, and support your career journey.
  • Flexible Time Off: With no cap on the number of days of PTO each year, employees are encouraged to enjoy a well-rounded lifestyle with work, travel, and family.
  • Paid Leaves: You’re immediately eligible for up to 12 weeks of paid leave each year to bond with a new child (mothers & fathers) and up to 8 weeks for medical or caregiver leave so you come back ready to deliver high-impact results.
  • Remote-First: We win together while still being fully remote, and each employee receives a stipend for 
  • their home office setup and a monthly allowance to help with the cost of internet/phone.

 

Kiavi in the News:

Forbes: The Future Of Real Estate: Fintech 50 2019 and Real Estate on a Threshold of a “Moneyball” Moment

HousingWire:  2019 HW Tech100 Winner: LendingHome

Pittsburgh Business Times: Voted a “2019 Best Places to Work” and won first runner-up in large company category

Mortgage Professional America: LendingHome surpasses $5 billion in loans in five years

Pittsburgh Business Times: San Francisco fintech aggressively expands, looks to hire in Pittsburgh

Curbed: How Wall Street, Silicon Valley Institutionalized Home Flipping

Job ID: 3659383
Employment Type: Other