Senior Data Engineer – IBM DB2

🕒 October 20

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Softgic's careers page, not through a job board

First seen by Remote Rocketship October 20

Still open on Softgic's site. Checked 1 hour ago.

Logo of Softgic

Softgic

51 - 200 employees

Founded 2011

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

Softgic is a digital and cognitive transformation services company that provides custom software development, automation, cloud and cybersecurity, and emerging-technology solutions to business clients. With more than a decade of experience, Softgic offers specialized “labs” for Solutions Design (UX, Agile, process design), Build (coding, low-code, mobile, DevOps), Metaverse (VR/AR, blockchain, NFTs, virtual economy), Data (Big Data, BI, AI/ML), Automation (RPA, BPM) and Go Live (cloud, IT operations, cybersecurity). The firm emphasizes tailored, enterprise-focused services, dedicated teams, and project-based engagements to help clients modernize infrastructure, streamline processes, and adopt advanced technologies.

📋 Description

• Design, develop, and maintain batch and event-driven data pipelines • Optimize IBM DB2 queries, stored procedures, indexes, and data extraction processes • Build integrations between DB2, enterprise applications, ERP systems, and AWS cloud services • Implement ETL/ELT processes, data validation, reconciliation, and quality controls • Monitor production pipelines, troubleshoot incidents, and ensure data reliability • Design scalable data architectures and support legacy-to-cloud modernization • Collaborate with engineering, architecture, product, and operations teams

🎯 Requirements

• 5+ years of professional Data Engineering experience • Strong hands-on expertise in IBM DB2 (LUW and/or DB2 for i) — mandatory • Proven experience extracting and integrating data from legacy DB2 environments • Strong programming skills in Python and/or Java • Advanced SQL, stored procedures, query optimization, and database performance tuning • Experience designing, developing, and supporting production ETL/ELT pipelines • Knowledge of data architecture, data modeling, data quality, and integration patterns • Experience with production monitoring, troubleshooting, and root-cause analysis • Advanced English proficiency (C1) for technical collaboration and architecture discussions

🏖️ Benefits

• Remote work arrangement

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