Senior Data Engineer

Summary

Join RecargaPay, a leading digital payment ecosystem in Brazil, as a Senior Data Engineer. You will design, build, and optimize data architectures and pipelines in a cloud environment (AWS). Responsibilities include data modeling, developing batch and real-time data pipelines, managing data platforms (Snowflake, Redshift, Delta Lake), and ensuring data security and compliance. The ideal candidate possesses strong experience in data engineering, cloud platforms, and data modeling tools. This is a fully remote position offering competitive salary and benefits.

Requirements

• Solid hands-on experience with cloud platforms (AWS) in data engineering and architecture roles
• Strong background in data modeling with practical experience using dbt, ER modeling tools, and advanced SQL techniques
• Advanced knowledge of batch and streaming data processing frameworks (Airflow, Kafka, Spark)
• Proficient in managing data storage and processing solutions such as Snowflake, Redshift, and Delta Lake
• Expertise in orchestration tools and CI/CD practices (Airflow, Databricks, Git)
• Deep understanding of data security principles, data masking, encryption, access control, and governance frameworks
• Excellent problem-solving skills, technical leadership, and the ability to communicate effectively with cross-functional stakeholders

Responsibilities

• Design and build scalable, secure, and high-performance data architectures in cloud environments (AWS), applying architectural patterns like Lambda Architecture and domain-driven design
• Model data across conceptual, logical, and physical levels using dbt and ER modeling tools, ensuring data integrity, consistency, and alignment with architectural standards
• Develop optimized data structures to support regulatory reporting, analytics, and operational workloads with a strong focus on reliability and compliance
• Design, build, and maintain batch and real-time data pipelines using Airflow, Kafka, and Spark, integrating structured and unstructured data from multiple sources with low latency and high availability
• Optimize data ingestion, transformation, and delivery workflows to ensure timely and accurate regulatory reporting
• Build and manage scalable data platforms, including Data Lakes, Data Warehouses, and Lakehouses, utilizing technologies such as Snowflake, Redshift, and Delta Lake
• Continuously monitor and optimize platforms for performance, scalability, and cost-effectiveness
• Orchestrate complex workflows and automate data processes using Airflow, Databricks, or equivalent orchestration tools
• Implement best practices for pipeline modularization, versioning (Git), and active monitoring to ensure robustness and maintainability
• Implement layered security measures across data platforms, including encryption, RBAC, data masking, and auditing practices, leveraging tools like Ranger, IAM, and cloud-native solutions
• Ensure compliance with internal and external governance, security, and regulatory requirements across all data processes
• Document data flows, technical standards, architecture decisions, and operational procedures clearly and effectively
• Mentor and support other engineers in adopting engineering best practices, ensuring a high level of technical excellence and consistency across the team

Preferred Qualifications

Experience working in regulatory, financial, or compliance-focused environments is a plus

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