Engenheiro(a) de Dados e Backend Sênior (PJ)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro(a) de Dados e Backend Sênior (PJ) based in Brazil.

This role sits at the intersection of data engineering and backend development, supporting mission-critical financial processes within a complex capital markets environment.
You will be responsible for building and evolving scalable data pipelines and backend systems that power key business decisions, especially around eligibility and structured credit operations.
The position demands strong technical depth, as you will translate financial rules into reliable system logic while ensuring accuracy, performance, and traceability of data flows.
You will work with large-scale distributed systems, contributing to event-driven architectures and high-volume data processing pipelines.
Collaboration is central, as you will partner with business and technical teams to automate operational decisions and improve system efficiency.
This is a highly impactful role for someone who thrives in solving complex data challenges in a fast-evolving financial technology environment.

Accountabilities:

• Design, develop, and evolve data pipelines that support eligibility, selection, and purchase processes for receivables, ensuring accuracy and efficiency in data processing.
• Implement and maintain business rules related to credit assignment and structured financial operations, translating complex requirements into robust system logic.
• Build and support data validation, transformation, and calculation processes for financial indicators and operational metrics.
• Develop and maintain integrations between data pipelines and backend services, ensuring consistency and reliability across systems.
• Contribute to the evolution of distributed and event-driven architectures, supporting scalable and resilient data flows.
• Investigate and resolve complex issues in large-scale data processing environments, ensuring system stability and performance.
• Participate in technical reviews, promoting engineering best practices, code quality, and architectural improvements.
• Collaborate with cross-functional teams to design solutions that automate business decisions and improve operational efficiency.

Requirements:

• Solid experience with Python for backend development and data pipeline construction.
• Strong experience with large-scale data processing frameworks such as Apache Spark, Databricks, or similar technologies.
• Advanced knowledge of data modeling, ETL/ELT processes, and data transformation workflows.
• Experience with messaging systems and event streaming tools such as Kafka or equivalent.
• Strong experience building and consuming REST APIs and integrating backend services.
• Proficiency in Git and collaborative software development practices.
• Advanced SQL skills for data manipulation, analysis, and optimization.
• Experience with distributed and event-driven architectures in production environments.
• Hands-on experience integrating data pipelines with backend systems.
• Familiarity with cloud environments such as AWS or similar platforms.
• Experience with data pipeline orchestration tools.

Desirable (not mandatory):

• Experience with Databricks and/or Delta Lake.
• Background in financial systems, capital markets, or structured credit environments.
• Experience handling high-volume data processing and large file-based workflows.
• Familiarity with streaming-based architectures and real-time data processing systems.

Benefits:

• PJ contract model with flexibility and autonomy.
• Monthly well-being allowance to support education, health, sports, leisure, or home office improvements.
• Paid vacation period with financial compensation.
• Birthday day off to celebrate your special date.
• Discounts and partnerships for English learning platforms such as Open English.
• Annual performance bonus based on individual and company results.
• Support for legal entity (CNPJ) management through accounting partnerships like Contabilizei.
• Access to wellness and fitness platforms such as TotalPass, including physical and mental health support.
• Inclusive and collaborative work environment focused on continuous learning and professional development.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1