Data Integration Engineer

Role - Data Integration Engineer

Client - UHG

Key Responsibilities

• Own the architecture and design of enterprise data integration and connectivity across source systems and data platforms.
• Design and implement integration patterns connecting ERP, financial, operational, SaaS, and enterprise applications to the data ecosystem.
• Develop scalable integration architectures supporting batch, near-real-time, real-time, and event-driven data flows.
• Design and govern API-based, event-driven, file-based, database, and streaming integration patterns .
• Lead integration of ERP and financial systems, including general ledger, accounts payable, accounts receivable, procurement, fixed assets, budgeting, and other finance processes.
• Define and maintain source-to-target mappings , transformation rules, canonical models, and integration specifications.
• Ensure data is transformed, standardized, validated, and enriched appropriately as it moves across systems.
• Establish reusable integration frameworks, patterns, and standards to accelerate onboarding of new data sources.
• Work with data architects and engineers to integrate source data into data lakes, data warehouses, lakehouses, and downstream analytical platforms .
• Design APIs and event interfaces that enable reliable and scalable data exchange between enterprise systems.
• Define integration strategies for cloud and on-premises applications and platforms.
• Ensure integrations meet enterprise requirements for security, availability, scalability, performance, auditability, and data quality .
• Establish monitoring, logging, alerting, reconciliation, and error-handling mechanisms for critical integrations.
• Identify and resolve data integration issues across source systems, pipelines, and downstream platforms.
• Collaborate with business and technology teams to understand source-system data structures, business rules, and integration requirements.
• Maintain integration architecture documentation, interface specifications, data lineage, and technical standards.
• Support modernization initiatives, including migration from legacy integrations to modern API, event-driven, and cloud-native architectures.
• Provide technical leadership and guidance to integration engineers and development teams.
• Evaluate integration technologies, middleware, API management, messaging, and streaming platforms.
• Strong experience in enterprise data integration, application integration, and integration architecture .
• Proven experience integrating ERP and financial systems with enterprise data platforms.
• Strong understanding of API-led and event-driven architectures .
• Experience with REST/SOAP APIs, messaging, queues, event streaming, and integration middleware.
• Strong knowledge of data mapping, transformation, normalization, validation, and reconciliation .
• Experience designing both real-time and batch integration patterns .
• Strong understanding of data integration across cloud and on-premises environments.
• Experience with modern data platforms such as Snowflake, Databricks, Azure , or comparable technologies.
• Experience with ETL/ELT and data pipeline technologies.
• Understanding of data governance, security, data quality, lineage, and metadata requirements.
• Experience designing highly available and fault-tolerant integration solutions.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data flows.
• Ability to translate business requirements into clear technical integration specifications.
• Strong communication and stakeholder-management skills.