Senior Data Engineer (Remote optional)
The Petal mission
Petal’s mission is to expand access to opportunity, by making responsible, modern financial services available to everyone. Founded in 2016, Petal provides technology-enabled credit cards to consumers who are historically underserved by mainstream providers.
Petal pioneered automated cash flow underwriting, a transformative new approach to assessing consumer creditworthiness with the potential to expand access to tens of millions of U.S. consumers without credit history, or for whom traditional credit scores do not tell the whole story. Petal pairs this groundbreaking, data-driven underwriting technology with a mobile-first, digitally native product experience designed to help users manage and build credit responsibly. For Petal, it’s a mission as much as it is a business—with a goal to reimagine finance for the next generation of consumers.
At Petal, we're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Petal, we welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.
The Data Engineer role
As a Senior Data Engineer, you will help lead the Data Engineering team. You will play a crucial role in planning, prioritizing, and executing projects that create the data infrastructure necessary for Petal's continued success. We're looking for engineers with deep industry experience that can bring fresh ideas they are looking to put into action.
Sound interesting? Then keep reading and hit that apply button!
Key responsibilities:
- Write high-quality, well-tested, observable code that runs smoothly in production and elevates technical standards across the team
- Work with the Data Engineering Product Manager to prioritize Data Engineering's sprint deliverables and quarterly goals
- Lead the Data Engineering team in technical roadmap planning and vision setting
- Teach across the Data Engineering team and broader engineering organization to improve best practices and influence system design
- Interface with Product and other stakeholders to assess future data infrastructure needs
Characteristics of a successful candidate:
- Data Engineering and Infrastructure Experience. Substantial hands on experience with data loading (ETL frameworks), data transformation (e.g., SQL, DBT), and warehouse design (e.g., derived data layers, star schema). Good understanding of infrastructure (e.g., job runner, data replication, data warehouse provisioning and scalability).
- Effective leader and (someday) manager. This is a high-growth role that can enable someone to grow into people management responsibilities through active mentorship and team leadership, especially as the company scales.
- Strong self-management, sense of ownership, and organization. Petal’s open and collaborative environment enables proactive and organized employees to really shine.
- Displays inclusivity, kindness, and humility. Our inclusive and collaborative culture is what makes Petal a great place to work. We need diverse people who embody our core values to make it even greater.
- Collaborative, empathetic, listens with intent. Communication of complex, ever-changing business and technology concepts is hard. Creating a shared understanding and path forward via an open discussion is commonplace at Petal.
- Weighs trade-offs and focuses on value delivery. A fast-paced startup demands making trade-offs that balance the near term and long term value add of solutions. At Petal, we design robust systems, but try not to let the perfect be the enemy of the good.
- We're seeking someone with a bachelor's degree or above in a related field, or equivalent work experience.
Nice-to-haves:
- Experience in a highly regulated industry such as finance or healthcare
- Experience with DBT, AWS infrastructure
These are all "nice-to-haves" --- we don't expect every candidate to hit every mark. Many of our engineers come from different backgrounds and career paths. We're committed to teaching anything you might need to learn on the job.
We are an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. We’re proud to be different, together.
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