We are building the alarm system for e-commerce operations.
Our mission is to detect and disrupt the risks—from delivery fraud to "Item Not Received" (INR) claims—that create friction between merchants, carriers, and 3PLs. We sit at the intersection of e-commerce, logistics, and fraud, turning massive, complex data streams into the clear-cut intelligence our clients need to operate safely.
We're currently a lean, high-impact "pod" building our entire risk-detection brain. We are now looking for a foundational member: the Data Engineer who will build and own the infrastructure that powers our intelligence.
About the Role
As our Founding Data Engineer, you will be the architect of our entire data infrastructure. This isn't a role for maintaining legacy pipelines; this is a greenfield opportunity to build our data platform from the ground up.
You will be the strategic partner to our Data Scientist and the founding team, defining how we ingest, store, and process massive volumes of data at scale. Your challenge is to take raw, real-time, and often-messy data from carriers and merchants and build the clean, reliable, and high-performance "data products" that our models and our team will run on.
You are the one who will "build the best infrastructure" for our team, enabling us to move faster and build smarter than anyone else in the industry.
In this role, you will:
Own and define the entire data engineering and MLOps roadmap, in close partnership with the founding team.Build for scale: Design, build, and own our data ingestion and processing pipelines, capable of handling millions of real-time events.Architect the foundation: Build the data warehousing and data-lake solutions that will be the single source of truth for our risk models.Empower the team: Partner with our Data Scientist to build the MLOps and data-serving infrastructure they need to build, deploy, and monitor models.Build durable systems: Go beyond notebooks. You will own production systems, data quality, and reliability. You'll be the "goalie" for our data's integrity.Automate everything: Build clean, automated, and observable systems that are a pleasure to work with.
You might thrive in this role if you:
Have 4+ years of experience in data engineering, platform engineering, or MLOps, preferably in a high-stakes, high-volume environment.Are fluent in Python and SQL and have deep experience with data architecture, ETL/ELT, and data modeling.Have hands-on experience with cloud data platforms (especially GCP), stream processing (e.g., Kafka, Beam), and modern cloud infrastructure (e.g., Kubernetes, Cloudflare).Are obsessed with reliability and performance. You get energized by the challenge of making a complex system fast, clean, and unbreakable.Are a "builder" who "shows, not tells." You prove how good you are by shipping elegant, working solutions, not by talking about them.Thrive on autonomy and ownership. You want "guidance, not guardrails." We'll give you a problem, and we know you'll find a smart way to solve it.Are a listener and a collaborator. You know the best ideas come from group conversations and you're eager to build a "common vision" with a small, brilliant team.
About Guzco
We are a small team of passionate, curious people dedicated to solving hard problems. Our culture is our foundation:
We hire the best and let them work. We give you the freedom, trust, and tools to build end-to-end solutions.We go deeper. We're critical thinkers who obsess over the details and know that the best solution is rarely the first one.We are partners, not "resources." We create an atmosphere where everyone talks to everyone. Your voice and your ideas are critical from day one.We are building the "best infrastructure" for our team to create their best work, with no bureaucracy.
If you are a curious, resilient builder who wants to own a core part of a new product, we would love to talk.
