Sr. Data Engineer

1 month ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

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 10 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.
Requirements
Responsabilities
The Senior Data Engineer will be responsible for building and optimizing secure, scalable, high-performance data architectures, ensuring reliable and efficient data flow across multiple systems while meeting strict regulatory, compliance, and business requirements.

• Design and build scalable, secure, high-performance data architectures in cloud environments (AWS), applying architectural patterns such as Lambda Architecture and domain-driven design (DDD).
• Model data at conceptual, logical, and physical levels using dbt and ER modeling tools, ensuring 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 flows to ensure timely and accurate regulatory reporting.
• Build and manage scalable data platforms, including Data Lakes, Data Warehouses, and Lakehouses, using technologies such as Snowflake, Redshift, and Delta Lake.
• Continuously monitor and optimize platforms for performance, scalability, and cost-efficiency.
• Orchestrate complex workflows and automate data processes using Airflow, Databricks, or equivalent tools.
• Implement best practices for pipeline modularization, version control (Git), and active monitoring to ensure robustness and maintainability.
• Implement layered security measures across data platforms, including encryption, RBAC, data masking, and auditing practices, using tools like Ranger, IAM, and native cloud solutions.
• Ensure compliance with internal and external governance, security, and regulatory requirements across all data processes.
• Clearly and effectively document data flows, technical standards, architectural decisions, and operational procedures
• Mentor and support other engineers in adopting best engineering practices, ensuring a high level of technical excellence and consistency across the team
  

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
• 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). Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Other
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at RecargaPay by 2x

Sign in to set job alerts for “Senior Data Engineer” roles.

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

---