Denodo Data Engineer: Virtualized Data Solutions

Flowserve Corporation; Irving (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Flowserve Corporation is seeking a Denodo Data Engineer in Irving, TX to design and support data virtualization solutions using Denodo. The role focuses on building scalable data services for analytics and business consumption, with strong emphasis on SQL, data integration, and cloud platform relationships.

You will design virtual data views, optimize data integration, and develop reusable data layers to empower analytics.

Qualifications

• Hands-on Denodo experience designing and supporting data virtualization solutions.
• Strong SQL skills and data integration experience.
• Experience with data modeling and analytics concepts.

Responsibilities

• Design, develop, and support virtual data views and data services using Denodo.
• Build and optimize data integration solutions for analytics and reporting use cases.
• Develop reusable semantic and logical data layers to support business consumption.
• Work with SQL, data modeling, and data transformation concepts.
• Integrate Denodo with data platforms, APIs, files, databases, and cloud services.
• Support performance tuning, query optimization, and troubleshooting.
• Collaborate with data architects, analysts, and business teams to gather requirements and deliver solutions.
• Document technical designs, data models, and implementation details.
• Support testing, code reviews, deployment, and production support activities.

Skills

Denodo

SQL

Data integration

Data virtualization

Data modeling

Data warehousing

Troubleshooting

Cloud platforms

Git

Azure DevOps

Tools

Denodo Design Studio

Microsoft Fabric

Job description

Flowserve Corporation is seeking a Denodo Data Engineer in Irving, TX to design and support data virtualization solutions using Denodo. The role focuses on building scalable data services for analytics and business consumption, with strong emphasis on SQL, data integration, and cloud platform relationships.

You will design virtual data views, optimize data integration, and develop reusable data layers to empower analytics.