Senior Data Engineer

Summary

Join RecargaPay and make a difference in the lives of millions of Brazilians by creating accessible and innovative financial solutions. As a Senior Data Engineer, you will design, implement, and scale robust data solutions in cloud environments, building and optimizing data pipelines and ensuring secure and efficient data flow. You will model data structures, develop and maintain batch and real-time data pipelines, and build and manage data platforms. You will also orchestrate and automate data workflows, implement data security measures, and document data flows and architecture standards. RecargaPay offers a dynamic environment, valuing collaboration and results, with opportunities for growth and co-creation. The company prioritizes a people-centric approach to decision-making.

Requirements

• 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

Responsibilities

• 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

Benefits

• 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