RecargaPay

Staff Data Engineer – Regulatory

RecargaPay

full-time

Posted on:

Location Type: Remote

Location: Brazil

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About the role

  • Define the data architecture and modeling strategy for the Regulatory domain, ensuring scalability, reliability, and regulatory compliance.
  • Design end-to-end domain data solutions, including transformation layers, curated datasets, and data consumption models.
  • Provide technical guidance and mentorship to Data Engineers and Analytics Engineers.
  • Ensure solutions align with company-wide data platform standards and collaborate closely with the Data Platform team.
  • Design and implement scalable data models (conceptual, logical, and physical) using PySpark and advanced SQL.
  • Build and maintain data transformation pipelines and curated datasets to support regulatory reporting and analytics.
  • Work with datasets ingested and managed by the Data Platform team, transforming them into reliable regulatory data products.
  • Develop batch and streaming pipelines using Spark, Airflow, Kafka, and Databricks.
  • Lead complex data initiatives, driving technical design and delivery across teams.
  • Produce technical specifications and architecture documentation for data solutions.
  • Break down complex problems into incremental deliveries, prioritizing MVPs and quick wins with a clear evolution roadmap.
  • Collaborate with engineering, product, and compliance stakeholders to translate regulatory requirements into technical solutions.
  • Implement best practices for pipeline modularization, testing, CI/CD, version control, and observability.
  • Promote standards for data quality, documentation, and maintainable data pipelines.

Requirements

  • Extensive experience in Data Engineering and Data Architecture in cloud environments (AWS).
  • Strong expertise in data modeling, PySpark, and advanced SQL.
  • Experience building batch and streaming data pipelines using tools such as Spark, Airflow, Kafka, and Databricks.
  • Experience working with data lakehouse architectures (Delta Lake, Redshift or similar).
  • Strong understanding of data governance, security, and regulatory data requirements.
  • Experience collaborating with centralized Data Platform teams and working within shared data infrastructure environments.
  • Strong technical leadership, communication, and problem-solving skills.
Benefits
  • Competitive and market-aligned salary.
  • Annual Award Program
  • 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.
  • Language classes.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architecturedata modelingPySparkadvanced SQLdata transformation pipelinesbatch data pipelinesstreaming data pipelinesdata lakehouse architecturesdata governanceregulatory data requirements
Soft Skills
technical leadershipcommunicationproblem-solvingmentorshipcollaboration