Software Engineer- Data Platform
Indexed description
About The Role
The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Develop data architecture for data ingestion, validation, and processing.
- Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
- Create and maintain optimal data pipeline architecture using microservices.
- Work with other members of the data team, including data architects, data analysts, and data scientists.
- Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
- Be around very bright and lovely people.
- Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
- Provide education and documentation to empower team members to make the most of technical resources.
- Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
- Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
- Collaborate on data infrastructure that supports LLM-driven workflows — leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.
- 5+ years of experience as a Software Engineer using Python.
- Experience with microservices and K8s.
- Experience in ELT/ETL processes and SQL, with strong analytical and problem-solving skills, with the ability to evaluate and interpret complex data.
- Building and designing complex applications.
- Willingness to get your hands dirty, understand a new problem deeply, and build things from scratch when they don't already exist.
- Bachelor's degree in Computer Science, Computer Engineering, or related fields from reputable academic institutions.
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.
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.
https://pagaya.com/privacy-policy
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