Staff Data Engineer (Regulatory)
Come Make an Impact on Millions of Brazilians!
At RecargaPay, we’re on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs.
We serve over 12 million users and process more than USD 4 billion annually. We’ve been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.
Our goal? Deliver the best payment experience in Brazil for people and small businesses alike.
We value autonomy, ownership, and a bias for action. We’re looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what’s possible.
If you’re ready to do your best work, at scale, with purpose — this is your place.
Role Overview
We are seeking an experienced Staff Data Engineer to join the Regulatory Data Core Squad, working alongside Data Engineers, Analytics Engineers, business stakeholders, and the Data Platform team to design and deliver scalable data solutions for regulatory and compliance reporting.
In this role, you will lead the technical design and architecture of regulatory data solutions, defining how data is modeled, transformed, and delivered for regulatory use cases. You will guide engineering decisions within the squad, mentor engineers, and ensure high standards in data modeling, pipeline design, and data quality.
This role focuses on domain-level data architecture and solution delivery, leveraging the infrastructure and ingestion layers provided by the Data Platform team.
We are looking for a hands-on technical leader who thrives in fast-paced environments, capable of delivering quick-win MVP solutions while defining scalable long-term data architectures.
Responsibilities
Data Architecture & Technical Leadership
- Define the data architecture and modeling strategy for the Regulatory domain, ensuring scalability, reliability, and regulatory compliance.
- Design end-to-end domain data solutions, including transformation layers, curated datasets, and data consumption models.
- Provide technical guidance and mentorship to Data Engineers and Analytics Engineers.
- Ensure solutions align with company-wide data platform standards and collaborate closely with the Data Platform team.
Data Modeling & Pipeline Development
- Design and implement scalable data models (conceptual, logical, and physical) using PySpark and advanced SQL.
- Build and maintain data transformation pipelines and curated datasets to support regulatory reporting and analytics.
- Work with datasets ingested and managed by the Data Platform team, transforming them into reliable regulatory data products.
- Develop batch and streaming pipelines using Spark, Airflow, Kafka, and Databricks.
Project Leadership & Delivery
- Lead complex data initiatives, driving technical design and delivery across teams.
- Produce technical specifications and architecture documentation for data solutions.
- Break down complex problems into incremental deliveries, prioritizing MVPs and quick wins with a clear evolution roadmap.
- Collaborate with engineering, product, and compliance stakeholders to translate regulatory requirements into technical solutions.
Engineering Practices
- Implement best practices for pipeline modularization, testing, CI/CD, version control, and observability.
Promote standards for data quality, documentation, and maintainable data pipelines.
Requirements
- Extensive experience in Data Engineering and Data Architecture in cloud environments (AWS).
- Strong expertise in data modeling, PySpark, and advanced SQL.
- Experience building batch and streaming data pipelines using tools such as Spark, Airflow, Kafka, and Databricks.
- Experience working with data lakehouse architectures (Delta Lake, Redshift or similar).
- Strong understanding of data governance, security, and regulatory data requirements.
- Experience collaborating with centralized Data Platform teams and working within shared data infrastructure environments.
- Strong technical leadership, communication, and problem-solving skills.
Benefits
- Competitive and market-aligned salary.
- Annual Award Program
- Remote work — wherever you are, you’re part of the team!
- Home office allowance through a monthly deposit in the RecargaPay app.
- Health and dental plans with no co-pay.
- Life insurance.
- Flexible meal allowance (via Flash).
- TotalPass membership to take care of your health.
- Language classes.
Diversity & Inclusion at RecargaPay
At RecargaPay, you’ll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.
About the Use of Your Data
By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities within the RecargaPay group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law).