Role Description Como Senior Data Engineer, você atuará na evolução da nossa plataforma de dados, desenvolvendo soluções escaláveis em um ambiente de alta volumetria e colaborando com diferentes times para transformar dados em valor para o negócio. O seu dia a dia no Skeelo vai ser assim: - Desenvolver e evoluir pipelines de ETL para ingestão, transformação e disponibilização de dados. - Construir integrações entre diferentes fontes de dados, garantindo qualidade, performance e padronização. - Desenvolver soluções em Python e Spark, atuando na cloud da AWS sob a plataforma Databricks. - Monitorar e evoluir pipelines em produção, garantindo confiabilidade e eficiência dos processos. - Trabalhar em conjunto com os times de Analytics, Produto e Engenharia para atender novas demandas de dados. - Garantir que os dados estejam disponíveis com alta qualidade e baixa latência para consumo das áreas da empresa. - Contribuir com melhorias na arquitetura, nas boas práticas e na evolução contínua da engenharia de dados. Qualifications - Experiência sólida como Data Engineer, desenvolvendo e sustentando pipelines de dados em produção. - Experiência com AWS, Python, Databricks e processos de ETL batch e streaming. - Conhecimento em bancos de dados relacionais e não relacionais, além de ferramentas como Kafka, Kibana e Elasticsearch. - Boa comunicação para colaborar com diferentes áreas e traduzir necessidades de negócio em soluções técnicas. - Inglês para leitura e compreensão de documentações técnicas. Requirements - Experiência em empresas de tecnologia ou fintechs de alta escala. - Vivência com Data Lakes e arquiteturas modernas de dados. - Experiência em ambientes com grande volume de dados. - Facilidade para documentar soluções e compartilhar conhecimento com o time. Benefits - Plano de saúde (sem custo e sem coparticipação para você e seus familiares) + odonto e seguro de vida. - VA/VR flexível no Caju (liberdade real de uso). - Bem-estar completo: Totalpass (atividade física) + ZenKlub (saúde mental). - PPR anual atrelado a metas e impacto. - Acesso ao Skeelo Premium + clube do livro com ebook do mês. - Auxílio creche + licença parental estendida. - Parceria com escolas de idiomas, Berlitz e Open English. - Feriados de SP emendados + recesso remunerado no fim do ano. - Day off de aniversário.

• Data Science & Applied ML: Research, prototype, and develop ML and LLM-based models to solve complex business problems, with a current focus on risk detection and prioritization • Wrap models into production-ready APIs and integrate them into our core product • Ensure model outputs are interpretable — translating predictions into actionable reason codes for end users • Partner directly with operational teams to gather feedback, refine features, and improve model relevance over time • Data Engineering: Design, build, and maintain scalable pipelines to ingest data from disparate sources into our data warehouse/lake • Implement robust data validation, quality checks, and transformation workflows across raw, curated, and serving layers • Build and maintain curated datasets optimized for both analytics and model training use cases • MLOps & Production Ownership: Implement and maintain CI/CD pipelines for both data workflows and ML model deployment across environments • Monitor pipeline latency, data drift, and model performance in production; design alerting and retraining triggers • Own the business outcomes of your models — define success metrics, track ROI, and iterate based on real-world efficacy • Manage infrastructure as code and containerized deployments to ensure reproducible, environment-consistent releases

Role Description We're seeking a Senior Snowflake DBA/Data Engineer to participate within an Agile scrum development team to gather and define requirements for a web-based user interface (UI) application and a REST web service middleware application. - Define requirements and acceptance criteria for JIRA user stories and bug tickets. - Independently and with little to no direction, develop software that meets defined requirements and acceptance criteria. - Work with the Product Owner and testers to complete Agile user stories and resolve bugs. - Participate in Agile ceremonies, such as daily stand ups, sprint planning, backlog refinement, Program Increment (PI) Planning, etc. - Develop and update design and other documentation. Qualifications - Minimum 9 years of experience with a Bachelor’s Degree. - The subcontractor personnel must be US Citizen or Green Card holders and should be able to secure a background check required for a public trust. - Experience with creating design documents. - Familiarity with Agile methodologies and SAFe principles. - Proficiency in JAVA (JDK 11+). - Experience working with Databases (PostgreSQL). - Experience with Spring MVC, Spring Data JPA, and Hibernate. - Proficiency in Angular, Angular Material, Typescript, HTML, CSS. - Proficiency in RESTful APIs and JSON. - Experience developing Continuous Integration / Continuous Development (CI/CD) pipelines. Requirements - Application Server experience (e.g., Apache Tomcat). - Git experience. - Snowflake experience. - JIRA/Confluence experience. - Experience with 508 compliance and JAWS. - CMS experience. - Databricks experience. - Spring Web Services and Spring Security experience. - Okta experience. Benefits - Top-tier benefits package to invest in your physical, mental, and financial health and wellness. - Opportunities to learn new skills, seize new challenges, and advance your career.

• Work collaboratively with the Managing Consultant, customer data owners, and other Encompass project stakeholders to define data migration activities and schedule for new customer onboarding. • Owns the migration of key customer data to drive the ECP system configuration and populate historical transactional data required for customers to go-live. This includes directly extracting data from legacy systems, working with customer stakeholders to populate import templates, importing the data into ECP, validating the data for accuracy and completeness, and working with the customer and project team to resolve issues. • Complete planned activities on time and within budget, consistent with the onboarding project plan, and to our standard of quality.