Scope of Role
As a founding Data & Operations Engineer on our small, senior-only team, you will be defining and working on the core systems and workflows that feed data across our internal architecture and beyond. Your architecture and processes will ultimately:
Allow your fellow engineers to aggregate critical product data and platform telemetry into a unified analytics platform.
Enable our FinOps team to ensure consistent, reliable ledgers across a number of financial partners and accounts.
Empower our Fraud / AML (Anti-Money Laundering) team to build high-quality risk models and workflows by shipping clean, understandable data models into our internal decisioning platform.
With our day-one distribution partners, team of highly experienced operators and engineers, and solid financial backing, we are excited to launch and looking for more like-minded engineers to bring Green to the world.
What You'll Do
Use your expert knowledge in Terraform, dbt, and AWS products to ensure data and applications alike are built on a solid, robust foundation
Define safe and secure Least Access patterns that allow man and machine alike to get the data they need when they need it, preserving data lineage and ensuring data governance as part of the regulatory and compliance ecosystem we adhere to
Document and educate the rest of the engineering team in the care and feeding of high-quality infrastructure systems that will support our global user base
What We Value
Ownership: You work deliberately and completely to provide appropriately scoped solutions to the issues we face as a growing FinTech organization
Collaboration: We communicate freely and openly to make sure both code and company are at the level we want it to be
Motivation: You have the experience and self-management to set goals and expectations that align with the rest of the team to reliably ship product and shape the company everyday
Requirements
Extensive hands-on experience building scalable data architectures in a consumer-oriented FinTech environment using Terraform, dbt, and SQL
Expert-level knowledge of data-centric development patterns for writing and validating various flavors of code deployed across internal and hosted environments alike
Fluent technical communication, especially written, for AI and non-SME consumption
5+ years building and shipping data pipelines and platforms
Experience at banking/credit card/crypto/remittances/lending startups
Experience with data modeling, ETL/ELT, or event-driven systems
Experience generally across the backend: working with Postgres, Redis, AWS, etc.
Bonuses
You might be an especially good fit if you have:
Data visualization and storytelling techniques
Deep expertise with full-stack applications / machine learning
Specific experience with global payments, ledgering, and other user-facing FinTech applications