Senior Cloud Data Engineer – IPaaS, Event-Driven Platform Engineering

🕒 February 6

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

BBI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

BBI is an award-winning global data and AI consultancy that engineers the data foundations powering enterprise analytics and AI. Headquartered in Schaumburg, Illinois, and operating with 600+ data professionals across the United States, Canada, and India, BBI delivers services including data integration, cloud migration, AI activation, platform operations, and data governance to large enterprises. The firm emphasizes senior engineers staying closely involved from day one, fast delivery with AI-driven accelerators, and building trusted, traceable, production-ready data and AI solutions for B2B clients in regulated industries such as financial services.

📋 Description

• Design and develop cloud-native iPaaS integration frameworks on Azure • Implement reusable inbound, outbound, and feedback-driven integration services • Build scalable API orchestration and event-processing frameworks • Develop canonical integration patterns and standardized payload models • Implement event-driven architectures using Logic Apps, Azure Service Bus, Event Grid, or Kafka • Develop retry, replay, dead-letter, and idempotency frameworks • Build containerized microservices using Python and Kubernetes-based deployment patterns • Develop scalable AKS-hosted integration applications • Build REST APIs and integration services • Build and support workflow orchestration frameworks using Astronomer Airflow / Apache Airflow • Develop metadata-driven pipeline orchestration frameworks • Develop Snowflake integration workflows and operational frameworks • Develop Cosmos DB integration services and operational frameworks • Implement centralized logging, audit, and operational monitoring frameworks

🎯 Requirements

• 5–8+ years of experience in Cloud Data Engineering, Integration Engineering, or Distributed Systems development • Strong hands-on expertise with Microsoft Azure cloud services • Strong experience implementing enterprise integration platforms and event-driven workflows • Hands-on experience with Azure Service Bus, Event Grid, messaging, and asynchronous processing • Strong understanding of retry frameworks, replay mechanisms, dead-letter handling, and idempotency • Strong experience with Kubernetes and Azure Kubernetes Service (AKS) • Hands-on expertise with Docker containerization • Strong Python development experience • Experience building REST APIs and event-processing applications • Strong hands-on experience with Astronomer Airflow / Apache Airflow • Hands-on experience integrating enterprise data platforms with Snowflake • Familiarity with deploying applications using Helm Charts and Kubernetes manifests • Familiarity with CI/CD pipelines and cloud-native deployment practices

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities