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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Integration Engineer, AVP - **Company:** State Street - **Location:** Burlington, MA, United States - **Experience:** Expert - **Salary:** $90,000.0 - $157,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adobe InDesign, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Code Review, Data Infrastructure, Data Integration, Data Transformation, Software Debugging, Distributed Systems, Key Management, Pentaho Data Integration, Scrum Methodology, Cloud Services, Software Engineering, SQL Databases, Talend, Web Services, Enterprise Data Management, Data Ingestion, Snowflake, Grafana, Git, Event Driven Architecture, Containerization, Core Data, Kubernetes, Information Technology, Enterprise Integration, Data Management, Software Version Control, Serverless Computing, Docker, Key Vault, Microservices - **Published:** August 26, 2026 - **Apply:** https://www.jofdav.com/jobs/59405160-data-integration-engineer-avp ## About the Role * B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, Physics, or a related technical field required. * M.S. degree preferred. Experience & Technical Skills * 4-8 years of professional software engineering experience. * Experience designing and developing cloud-native services, preferably on Microsoft Azure. * Hands-on experience with microservices architectures, serverless technologies, and event-driven systems. * Strong proficiency in Java. Experience with Spring-based frameworks is a plus. * Solid experience with SQL and data-intensive applications. * Understanding modern data integration architectures, data transformation, and data quality concepts. * Knowledge of cloud infrastructure and deployment concepts, including networking, security, identity, configuration, and secrets management. * Experience with CI/CD pipelines, Git-based source control, and automated testing frameworks. * Ability and willingness to ramp up quickly on internal Java-based import/export frameworks (built on Java and Pentaho Kettle) and enterprise integration frameworks built using Talend for ongoing development and production support. * Demonstrated problem-solving ability in multi-tiered, high-performance, mission-critical systems. Nice to Have * Hands-on experience with Azure services such as Azure Functions, Storage, Key Vault, Service Bus, and monitoring/observability tools. * Experience with containerization and orchestration technologies (Docker, Kubernetes). * Familiarity with modern cloud data platforms such as Snowflake or similar technologies. * Experience working in financial services or with large-scale enterprise data platforms. * Prior experience supporting client-facing, production-critical systems. Soft Skills * Strong analytical and problem-solving skills. * Excellent written and verbal communication skills. * Ability to work effectively with peers in a collaborative, globally distributed team environment. * Comfortable balancing new framework development with ownership and support of existing enterprise platforms. ## Description We are seeking a Data Integration Engineer to design, build, and evolve the data integration capabilities powering the Next-Gen Data Platform within the State Street Alpha ecosystem. In this role, you will develop cloud-native, scalable, and resilient data integration services using microservices and serverless architectures, including Azure Functions. This is a hands-on engineering role for an experienced developer (4-8 years) who enjoys solving complex data and distributed systems problems. The role combines greenfield framework development with ownership of mission-critical enterprise integrations, including the opportunity to ramp up on and support existing internal Java-based import/export frameworks (built on Java and Pentaho Kettle) and enterprise integration frameworks built using Talend-based solutions that remain essential to the platform. Responsibilities * Analyze, design, develop, test, and maintain large-scale, cloud-native data integration services using microservices and serverless patterns (e.g., Azure Functions). * Contribute to the design and implementation of core data integration platforms and services, with a focus on scalability, resiliency, operability, and performance. * Build and enhance APIs and services supporting batch, near-real-time, and event-driven data ingestion and transformation workflows. * Collaborate closely with architects, business analysts, product managers, and partner engineering teams across CRIMS and the broader Alpha Platform to deliver simple, sustainable solutions to complex problems. * Develop, test, debug, and deploy software primarily using Java, SQL, and related cloud-native technologies. * Perform code reviews and provide informed guidance on design and implementation decisions. * Write unit, integration, and automation tests to ensure a high-quality, reliable platform. * Troubleshoot and resolve issues in distributed, cloud-based production systems, including root-cause analysis for mission-critical client implementations. * Support and enhance existing internal Java-based import/export frameworks (built on Java and Pentaho Kettle) and enterprise integration frameworks built using Talend integrations as part of overall data platform ownership. * Participate actively in the agile development process, including daily standups, sprint planning, backlog grooming, and retrospectives. * Mentor and guide junior engineers, demonstrating increasing independence in design and development. * Produce and maintain technical documentation, design artifacts, and operational runbooks. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Next Level Enterprise Architecture: Modular, Flexible, Scalable, Multichannel and AI-Ready?](https://www.wearedevelopers.com/videos/1017-next-level-enterprise-architecture-modular-flexible-scalable-multichannel-and-ai-ready) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)