Staff Software Engineer (Data Platforms)

Prosper•San Francisco, CA

21h•$196,000 - $220,000

About The Position

We need an Enterprise Python Expert to join our Data Engineering team. While youâll work within our data ecosystem, your primary focus is high-quality Software Engineering: designing and building pipelines and services, improving system architecture, and writing clean, scalable code with our Google cloud eco-system (GCP). About Our Technology Team We are growing our Technology team to support our various financial products. The ideal candidate is passionate about learning the Fintech domain and delivering cutting-edge, high-quality solutions to solve business problems. We utilize a progressive, test-driven, Agile development methodology that places a high premium on communication, teamwork, sound design and clean implementation. About Us Founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than 2 million people gain access to affordable credit with over $27 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission. Weâre on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company thatâs democratizing finance for all! Our Values Diversity expands opportunities Collaboration creates better solutions Curiosity fuels our innovation Integrity defines all our relationships Excellence leads to longevity Simplicity guides our user experience Accountability at all levels drives results At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.

Requirements

BS in EE/CS with 12+ years of experience or MS in EE/CS with 8+ years of experience.
Deep expertise in object-oriented Python within an enterprise environment. Experience in Java, C#, or Go is a major plus.
Software-First Mindset: You treat data infrastructure as a software product, not a series of one-off scripts or data pipelines.
Production DevOps: Proficiency with Docker, Kubernetes, CI/CD, and Infrastructure as Code (Terraform) within modern cloud providers.
Data Fluency: Strong SQL (e.g. BigQuery, PostgreSQL) and an understanding of how to build systems around data warehouses.
Modern Workflow: Proficient with LLM-assisted development (e.g. Cursor) to accelerate delivery while ensuring you can understand, explain and defend every line.
Ownership: A track record of taking complex engineering problems from an âideaâ or âconceptâ to "stable service."

Nice To Haves

Experience in Java, C#, or Go is a major plus.

Responsibilities

Architect Services: Design and stand up backend services and APIs that power our data platform.
Build for Scale: Transition us from simple scripts to production-grade software with logging, alerting, and automated testing.
Modernize Tooling: Evaluate and implement new frameworks that improve system reliability and developer velocity.
Collaborate: Partner with analysts, software engineers and infrastructure teams to ensure our data services are fast, secure, and easy to consume.
Lead by Example: Set the standard for Python excellence, performing deep code reviews and mentoring the team on SDLC best practices.

Benefits

The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives.
The opportunity to work in a fast-paced environment with experienced industry leaders.
Flexible time off, comprehensive health coverage, competitive salary, paid parental leave, and other wellness benefits.
A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot.

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