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Data Engineer (Staff, Principal, Lead)
Actively hiring🇺🇸 San Francisco, CA, United StatesFull-time$300k – $380k /yr5+ yrs expData Engineer
Posted 5h ago0 views
About Green
Green is building a global consumer neobank. We're merging international banking and payments into a single product. Our mission is to enable all of our customers around the world to spend, save and earn in USD. We'll be starting the US and select international markets with ambitions to scale far beyond.
Green is built by a small group of highly experienced operators and engineers. We're a small, senior-only team, with no layers, politics, or slow decisions. We've built, founded, and owned services used by hundreds of millions of people and generating billions in revenue. Green is the next step and mass distribution is readily available via our day-one partners. Every person on the team ships product and shapes the direction of the company.
The 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
What You Bring
- 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
Nice to 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
What We Offer
- $200K-$400K cash compensation
- Day 1 impact on partner products used by millions globally
- Shape technical vision and architecture as we scale
- Own major parts of the product and infrastructure
- Ship fast and avoid corporate overhead
Responsibilities
- 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.
- 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
Requirements
- 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
- 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
- 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
Skills
TerraformdbtAWS productsSQLPython
Benefits
- $200K-$400K cash compensation
- Day 1 impact on partner products used by millions globally
- Shape technical vision and architecture as we scale
- Own major parts of the product and infrastructure
- Ship fast and avoid corporate overhead
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