Sr. Data Engineer (Regulatory Data Core Squad)

Brazil - Remote

RecargaPay

Pague e cobre tudo com cartão ou Pix. Contas e boletos, recargas de celular, cartão de transporte (Bilhete Único, URBS, VEM, CCR Metrô) e muito mais, com total segurança. Baixe grátis o RecargaPay.

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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 highly skilled Senior Data Engineer to join our Regulatory Data Core Squad, working alongside Analytics Engineers and business teams to design, implement, and scale robust data solutions in a dynamic regulatory reporting environment. The Senior Data Engineer will handle the construction and optimization of secure, scalable, and high-performance data architectures, ensuring that data flows reliably and efficiently across multiple systems to meet stringent regulatory, compliance, and business demands.

  • Design and build scalable, secure, and high-performance data architectures in cloud environments (AWS, GCP, or Azure), 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.

Requirements

  • Solid hands-on experience with cloud platforms (AWS, GCP, or Azure) 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.
  • 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.

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).

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow Architecture AWS Azure CI/CD Databricks Data pipelines dbt Engineering GCP Git Kafka Lambda Pipelines Redshift Security Snowflake Spark SQL Streaming Unstructured data

Perks/benefits: Competitive pay Flex hours Health care

Regions: Remote/Anywhere South America
Country: Brazil

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