About Pagaya

Shape the Future of Finance
Pagaya is building a leading artificial intelligence network to help our partners grow their businesses and better serve their customers.

Pagaya powers a leading artificial intelligence network that enables banks, fintechs, merchants, lenders, and other B2C businesses to provide their customers with greater access to financial services. We help partners grow their customer base while managing risk, all with a seamless customer experience.

Pagaya’s network enables our partners’ customers access to credit across Auto, Credit Card, Personal loans, and Point of Sale markets. We are also developing products in insurance, real estate, and more. Our network is fully automated and operating at scale - with the support of the Pagaya network, our partners have processed millions of applications, with a new application typically analyzed every second.

Let's create better outcomes together!

About the Role

We are looking for passionate Data Engineer with expertise in cloud technologies, big data and experience working with internal customer-facing business requirements.

This role includes working with Data Science, Analysts, BI and Product departments closely, which requires experience and skill to design and develop main components for our data pipeline.

• Build Data-Infrastructure products to empower engineering teams and data scientists to build production-grade products
• Working in a production environment that is getting bigger each day
• Leading and commanding innovative new products which can scale and integrate to current best-practices
• Working with current-technologies including DBT, Spark, Airflow, SQS, S3, Athena, EventBridge and regularly take them to the edge
• Collaborating and working with and exceptionally skilled teams that loves getting things done, including architects and engineers, to create high quality deliverables

Requirements

• At least 3 years of experience as a Data Engineer.
• Deep understanding of data concepts - modeling, optimizing and scaling - Must.
• Experience with at least 3 of these technologies DBT, Snowflake, , Airflow, SQS, S3, Athena, EventBridge, Kinesis.
• Excellent coding skills (preferably in Python).
• Fluent with SQL.
• Experience Dealing with high-availability production systems.
• Familiarity with Spark - a must.
• Cloud AWS, DBT proficiency - an advantage.
• Experience working in Fintech industry - an advantage.
• An independent, self-learner who is passionate about data, understands business processes and can translate business needs into data models.

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ 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.

• Continuous Learning: It’s okay to not know something yet, but have the desire to grow and improve.
• Win for all: We exist to make sure all participants in the system win, which in turn helps Pagaya win.
• Debate and commit: Share openly, question respectfully, and once a decision is made, commit to it fully.
• The Pagaya way: Break systems down to their most foundational element, and rebuild them unique to Pagaya.

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.