Data Engineer – Specialist I

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Act as the primary technical Data Engineering liaison for Credit, Collections, and international operations involving both individual and corporate clients.

• Create and enhance intricate batch and real-time data ingestion pipelines.

• Develop APIs for data extraction, deployment, and integration with partner systems and risk bureaus.

• Oversee the maintenance and development of credit pipelines, which include credit limit increases and behavioral scoring.

• Engage in expected loss and provisioning workflows.

• Track the delinquency funnel from 2 to 1,800 days throughout the collections process.

• Construct data ecosystems to support Machine Learning models, analytical workflows, and risk engines.

• Supervise end-to-end operational health, ensuring data quality and performing API stress testing.

• Implement FinOps practices to optimize computing costs.

• Utilize generative AI, Cursor or similar tools, prompt engineering, and requirements specification.

• Facilitate the translation of requirements between business units and technical teams.

• Generate technical documentation, trade-off analyses, and roadmaps.

• Collaborate using Scrum/Kanban methodologies, strategic OKRs, and dynamic prioritization.

• Effectively manage time and lead problem-solving initiatives in critical situations.

⛳️ Requirements

• Advanced expertise in Python and data engineering ecosystems and workflows.

• Demonstrated experience in data and software architecture, particularly in constructing complex batch and real-time ingestion pipelines.

• Strong background in developing and deploying APIs for seamless data integration between various systems and partners.

• Knowledge and practical experience with observability, telemetry, and API stress-testing methodologies.

• Familiarity with and practical application of generative AI tools for development, including vibe coding with Cursor or equivalent tools, as well as prompt engineering.

• Excellent self-management abilities, analytical thinking, adaptability, and a capacity to collaborate effectively with business areas to meet requirements.

• Preferred: experience in the financial sector, especially in Credit, Collections, or Risk Bureaus.

• Preferred: experience in integrating pipelines with Data Science and Machine Learning initiatives.

• Preferred: understanding of FinOps culture and practices.

🏝️ Benefits

• Flexible medical and dental insurance options.

• Prescription assistance and healthcare allowance for family members.

• Complimentary psychotherapy sessions and 24/7 telemedicine access.

• Ongoing preventive care, mental health support, and vaccination initiatives.

• Meal vouchers (or access to an on-site restaurant) and food allowances, including an additional Christmas allowance.

• Discounts of up to 40% on brands within our ecosystem.

• Gympass/TotalPass memberships for gym and sports studio access.

• Home office allowance for hybrid and remote work setups.

• Birthday day off.

• Pet health insurance, partner benefits, and travel and accommodation programs.

• Extended parental leave (180 days for mothers and 120 days for fathers).

• Support for parents of children with special needs and childcare assistance.

• School supplies allowance and child nutrition credit.

• Dedicated legal, psychological, and social support services.

• Private pension plan and life insurance coverage.

• Bereavement support following the loss of parents and payroll-deducted loan options.

• Transportation allowance and parking availability (depending on the work arrangement).