Job Title: Senior Data Engineer (Modern / ETL – DataStage)

Experience Level: Senior (5+ years)
Openings: 5–7
Engagement Type: Contract / W2 / 

Job Summary

We are seeking experienced Senior Data Engineers to design, build, and optimize scalable data management systems. This role focuses on integrating new data sources, enhancing performance of existing platforms, and ensuring data systems are reliable, scalable, and ready for future growth.

The ideal candidate has strong expertise in modern data engineering practices, ETL frameworks (including DataStage), and performance optimization of large-scale data systems.

Key Responsibilities

• Design, construct, install, test, and maintain scalable data management systems
• Develop high-performance algorithms, predictive models, and data prototypes
• Ensure systems meet business requirements and industry best practices
• Integrate modern data engineering tools and technologies into existing platforms
• Establish and maintain processes for data mining, modelling, and production
• Build custom software components and analytics applications
• Research new and innovative uses of existing and new data
• Utilize multiple programming languages and tools to integrate systems
• Collaborate with data architects, engineers, analysts, and IT teams
• Implement and maintain disaster recovery procedures
• Continuously improve data reliability, quality, and performance

Required Skills & Qualifications

• 5+ years of professional experience in data engineering
• Strong experience with ETL tools (DataStage or equivalent modern ETL platforms)
• Solid understanding of data modelling, data warehousing, and data pipelines
• Experience with SQL and modern programming languages used in data engineering
• Knowledge of data mining techniques, algorithms, and analytics practices
• Strong problem-solving and communication skills