Job description
Come and impact millions of Brazilians!!
Want to make a difference in the lives of millions of Brazilians? At RecargaPay, we create accessible and innovative financial solutions that transform the way people interact with money. Be part of this impactful and innovative journey, connecting people with opportunities that truly make a difference in their daily lives.
Our purpose is to deliver the best mobile payment experience for Brazilians, addressing real-world challenges with smart solutions like Pix Parcelado, while staying attentive to market trends and our customers’ needs. Here, we value collaboration, ownership, and a relentless pursuit of results, delivering excellence in every interaction.
If you’re looking to join a dynamic environment that challenges the status quo and puts people at the center of decision-making, RecargaPay is the perfect place for you to grow, co-create, and make a difference!
Responsibilities
We are seeking a Senior Data Engineer to design, implement, and scale robust data solutions in cloud environments. You will be responsible for building and optimizing our data pipelines, modeling data structures, and ensuring that data flows securely, reliably, and efficiently across multiple systems and teams.
Design and build scalable, secure, and high-performance data architectures in cloud environments (AWS), applying patterns like Lambda Architecture and domain-driven designs.
Model data across conceptual, logical, and physical levels, using tools such as dbt and ER modeling tools, ensuring data integrity, consistency, and architectural compliance.
Develop and maintain batch and real-time data pipelines using Airflow, Kafka, and Spark, integrating multiple data sources with low latency and high availability.
Build and manage data platforms (Data Lakes, Warehouses, Lakehouses) using technologies like Snowflake, Redshift, and Delta Lake, optimizing for both performance and cost.
Orchestrate and automate data workflows with Databricks, Airflow, or equivalent orchestration tools, applying best practices in modularization, versioning (Git), and active monitoring.
Implement layered data security measures including encryption, RBAC, data masking, and auditing, leveraging tools like Ranger and IAM.
Document data flows, architecture standards, and technical decisions; advocate for and mentor peers in adopting best engineering practices.
Solid hands-on experience with cloud platforms (AWS) in data engineering and architecture roles.
Strong background in data modeling and experience with dbt, ER modeling tools, and SQL.
Advanced knowledge of batch and streaming data processing frameworks (Airflow, Kafka, Spark).
Proficient in managing data storage solutions like Snowflake, Redshift, and Delta Lake.
Experience with orchestration and CI/CD pipelines (Airflow, Databricks, Git).
Deep understanding of data security principles and governance practices.
Excellent problem-solving skills, technical leadership, and cross-functional communication abilities.
Competitive and market-aligned salary.
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.
Spanish or Portuguese 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).
