Data Integration Engineer (IBM webMethods)

Role Overview

Build and support enterprise data integrations using IBM webMethods or API Connect across on-premises and AWS platforms.

Key Responsibilities

• Build and support ETL/ELT processes, APIs, and file, database, and event-driven integrations.
• Gather integration requirements and create source-to-target mappings.
• Write SQL, stored procedures, and transformation logic, and support integrations on AWS (S3, Aurora, RDS, DynamoDB, EC2).
• Monitor integrations, and troubleshoot failures, data quality issues, and production incidents.
• Test, document, and deploy integrations through CI/CD, using AI-assisted development tools.

Must Have Skills

• 2 - 4 years in data integration, ETL development, or application integration.
• Hands-on IBM webMethods or IBM API Connect.
• Python and AWS services on SaaS or cloud platforms.
• Strong SQL on relational databases (SQL Server, PostgreSQL, Oracle, MySQL, or DB2), with JSON, XML, and REST/SOAP.
• AI IDEs (Claude Code or similar) and clear communication with technical and business teams.

Nice to Have

• Informatica, Talend, or Information Builders
• Message queues or event-driven architecture
• Git, GitHub, or Azure DevOps
• Financial services or regulated industry experience
• Cloud, data, or AI certifications