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Remote Kafka Real-Time Data Engineer
Designs and maintains Kafka-based real-time data pipelines for enterprise systems, ensuring scalability, high availability, and seamless integration with cross-functional teams.
Senior Data Engineer for AI & RAG Pipelines
The Senior Data Engineer will build and scale document processing pipelines, OCR/VLM models, and knowledge ingestion systems for retrieval-augmented GenAI applications within Singtel's new AI & Data Analytics unit.
Senior Java Big Data Engineer & Tech Mentor
Senior Java/Big Data Engineer designs, builds, and mentors teams on scalable data solutions using Spark, Kafka, and Hadoop, while ensuring CI/CD integration and robust SDLC practices.
Software Developer (BigData/JAVA)
This role involves leading technical design and development for big data solutions using Java, Spark, and Hadoop ecosystems. The developer will also manage CI/CD pipelines, perform code reviews, and mentor junior team members.
React Full-Stack Developer Pleno | Remoto
Full-stack developer building and evolving applications with React, Next.js, and NestJS in the JS/TS ecosystem, supporting architecture decisions, code reviews, and agile delivery for a Brazilian IT consultancy.
Senior Backend Engineer (Java, SpringBoot) (m/f/d)
Build and evolve core financial services (payments, invoicing, ledgers) using Java/Spring, Oracle/MySQL, and Kafka on Kubernetes, while decomposing a monolith into domain-oriented microservices.
Data Engineer Parque Patricios
Builds and maintains end-to-end data pipelines and warehouses using Azure or GCP stacks, focusing on Spark/Scala and CI/CD automation.
Technical Leader Full Stack
Lead a team building Java/Spring Boot backend services and React.js frontends for fintech insurance solutions, ensuring scalability, security, and API standards while mentoring developers.
Senior Software Engineer, Security Platform
Build backend systems and data pipelines to securely process and protect sensitive financial data, focusing on authentication, tokenization, and privacy compliance for Robinhood’s platform.
Senior Staff Software Engineer, Data Platform
Lead the architecture and development of Robinhood's data infrastructure, including storage, streaming, and analytics systems, to support real-time and batch processing for millions of users.
Software Engineer, Backend
Build and maintain Robinhood’s backend services and financial systems using Go or Python, Kafka, and cloud infrastructure to power trading, incentives, and identity platforms.
Senior Software Engineer, Streaming Platform
Build and maintain Robinhood’s real-time data streaming infrastructure using Kafka, Flink, and Debezium to power financial products and analytics.
Senior Software Engineer, Data Lake
Build and scale Robinhood’s data lake ingestion systems using Kafka, Flink, and CDC to move financial data securely from operational platforms to S3 for analytics and compliance.
Data Platform Developer
Designs, builds, and maintains scalable event-driven solutions using Kafka and related tools, ensuring reliability and performance in production environments.
Senior Data Platform Engineer
Builds and maintains scalable data pipelines and infrastructure for analytics, leveraging Kubernetes, Spark, Kafka, and cloud-native tools to enable real-time and batch data processing.
Cloud Data Engineer (f/m/x)
Build and maintain cloud data pipelines using Python, SQL, and Azure tools like Databricks and Snowflake to process and transform large datasets.
Snowflake Data Engineer (m/k/n)
Builds and optimizes Snowflake-based data pipelines, integrating Kafka, AWS, and NoSQL to process and transform data for analytics and business intelligence.
Data Engineer – sektor bankowy i finansowy
Builds and maintains big data pipelines and infrastructure for financial services, using SQL, Python, and cloud/data tools like Spark, Kafka, and Databricks to process banking/financial data.
Big Data Engineer
Builds and optimizes large-scale data pipelines and processing systems using Apache Spark, Hadoop, and cloud platforms to enable data-driven insights and analytics for the company’s operations.