Data Engineer

About Pagaya

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network, and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.

About The Role

We are growing our team and are looking for a talented, passionate and driven Data Engineer to join our Data Engineering Group.

Join us to help shape the future of Data Engineering in Pagaya!

Responsibilities

• Develop data infrastructure projects, focusing on creating self-service tools.
• Design and implement complex data models using dbt and Snowflake.
• Collaborate with the Product, BI and Research teams to implement new features.
• Identify and resolve data issues that arise, and proactively address potential issues before they impact consumers.
• Monitor and optimize Snowflake performance to ensure high data quality and scalability of our product.
• Utilize the latest technologies and industry standards.
• Hands-on development using Python.
  
  

Requirements

• 4+ years of relevant experience in data engineering development.
• Strong proficiency in Python.
• Deep understanding of data platform architectures and technologies.
• Excellent communication skills and the ability to work effectively with multiple stakeholders.
• Demonstrated ability to tackle complex challenges and drive innovation.
• Great to have - Experience with dbt, Airflow and Snowflake.
  
  

This role offers the opportunity to take on a significant position within a dynamic and growing company, where you will substantially impact the development of our data platform. If you are passionate about tackling complex challenges and driving innovation, we encourage you to apply.

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 400+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

• Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
• Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
• Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
• Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
• Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.
  
  

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life.

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.