Staff Data Engineer (LatAm)
FirstbaseAbout the role
About Firstbase
Tens of thousands of businesses — from newly incorporated startups to public enterprises — rely on Firstbase to streamline compliance, finance, analytics, and every part of the back office. It is one platform to run your entire company.
Our goal is to make running a business feel like magic. We make it possible by owning the general ledger and unifying data across all business functions. Compliance tasks are flagged — and often resolved — automatically. Real-time business metrics are accurate, accessible, and easy to understand. And if you need to hire a new employee, send an invoice, or file taxes, you can do it from the same interface.
We’re bundling what’s never been bundled. We’re not building an incorporation tool. We’re not building an ERP. We’re not building an "AI accountant." We are creating a new category entirely: the Company OS.
How we work
We cherish the moments when noise fades and we move with clarity, confidence, and focus — doing the right thing at the right time. These moments are when our best work happens, and we strive to create more of them.
We value craftsmanship over busyness, clarity over complexity, and resilience above all — whether it takes hard work or patience. We aim high, avoid mediocrity, and speak with fearless transparency.
We believe in accelerated career progression and take pride in growing talent from within, always preferring to promote our own before looking externally.
About the team
As our first Staff Data Engineer, you’ll define how data powers our products, decisions, and AI-driven capabilities. You’ll be in touch with the entire lifecycle — from designing architecture and building pipelines to deploying production-ready systems — partnering closely with product, engineering, and data stakeholders.
This is a role with high autonomy, broad scope, and the chance to set the gold standard for how data is built, managed, and leveraged across the company.
Our product is built using PHP, Golang, Node.js, Vue, MySQL, PostgreSQL, AWS. We also use Redis, Vue Router, Vuex, Docker Compose, Docker, GitLab CI, and Graylog, and some third-party API's like Stripe. We use Slack, Clubhouse, Notion, Whimsical, Figma, and G Suite to collaborate and build together.
What you will do
As a Staff Data Engineer at Firstbase, you’ll serve as a technical leader and trusted advisor for all things data within your product domain. You’ll partner closely with Product, Engineering, and Data teams to power data and AI-driven decision-making at scale.
Your responsibilities will include:
Architect and deliver scalable, high-performance data pipelines and platforms capable of processing large, complex datasets from a variety of sources.
Collaborate cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical requirements, proactively addressing risks before they become issues.
Design robust data models and transformation workflows to produce high-quality, consistent, and easily consumable datasets for analytics, AI, and machine learning applications.
Continuously improve data processes and tools by identifying inefficiencies, implementing best practices, and raising the bar for quality and maintainability.
Lead by example with hands-on coding, configuration, and testing to ensure solutions are reliable, performant, and well-documented.
You should meet the following requirements
Proven experience applying software engineering best practices to the design and operation of large-scale, distributed data systems.
Strong track record of delivering business impact through complex data and engineering projects.
Deep understanding of modern data architectures and related technologies (e.g., Databricks, Snowflake, Apache Iceberg/Delta Lake).
Advanced skills in Python and SQL, with a focus on clean, maintainable, and well-tested code.
Expertise with distributed data processing frameworks such as Apache Spark.
Experience with data orchestration tools (e.g., Apache Airflow) and solid knowledge of data modeling for analytical workloads.
Ability to lead cross-team initiatives, aligning technical strategy with business goals.
Strong written and verbal communication skills, with a proactive approach to collaboration.
Nice to have
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