Full Stack Engineer (Mid - Senior)

Spade
New York, NYPosted 13 March 2026

Job Description

What is Spade? Financial institutions process billions of transactions every day across cards, ACH, wires, and third party aggregators. But most of that data is difficult to use. Descriptions are inconsistent, merchant names don’t match, and categories vary by payment type. Spade’s API takes these raw, messy transactions, and in Spade is a fast growing, Series A company backed by industry experts and top tier investors (including a16z, Flourish Ventures, Y-Combinator, and Gradient Ventures). We’re a lean and execution-oriented hybrid team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of background, experience, and opinion. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work. What will you do? Spade is looking for a full stack engineer who thrives at the intersection of data infrastructure and developer experience. You'll join a lean, high-ownership team building real-time transaction enrichment for some of fintech's most innovative companies, and have a meaningful impact on both the product and engineering culture from day one. You will: Collaborate on our technical vision to build a product customers love Develop and maintain low-latency, massively-scalable developer facing APIs and a robust data platform supporting our data science team Continuously improve our engineering best practices by designing and implementing systems that allow us to expand the code base, drive productivity, and scale the team Debug production issues across all levels of the stack Bring a strong collaborative approach to deliver value to customers and internal stakeholders at Spade What experience, skills, and qualifications are necessary? This position is remote friendly (with an option to come to an office if in the NYC area), but only open to applicants based in the United States and Canada. Must-have: 5+ years of experience building and scaling backend Python-based systems in fast-paced environments Proven expertise in at least two of the following areas: infrastructure, data pipelines, and API development Experience building systems from scratch, making trade-offs, and executing autonomously in early-stage environments A product mindset and strong problem solving skills, with the ability to navigate ambiguity and focus on delivering customer value A collaborative mindset, fostering a culture of mentorship, shared success, and continuous improvement Nice-to-have: Proficiency in Django and SQL Familiarity data science and analytics tools such as Pyspark, Databricks and Delta Lake, and Looker Experience with cloud infrastructure and tools like AWS CDK Experience with transaction, merchant, and/or location data Experience and/or interest in fintech and/or data products Why join Spade? Be a cultural founder. As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team – joining now comes with limited risk and unlimited upside. Build the next generation of financial infrastructure. The future of finance will be built on better data, and Spade powers that. You’ll have the opportunity to drive impact at scale, helping industry leaders build more innovative products and services for consumers. Benefits include: Competitive compensation and equity package Full medical, dental, and vision benefits for US-based employees Life short-term disability insurance Unlimited PTO 401K for retirement planning Remote-friendly team, with pet-friendly headquarters in NYC Paid parental leave Work from home stipend Diversity Inclusion at Spade: Spade is an equal opportunity employer, committed to building a culture that is diverse, equitable, and inclusive. We believe that having people with different backgrounds, experiences, abilities, and perspectives not only helps us ... (truncated, view full listing at source)
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