ETL Data Engineer - Informatica

Senior Data Engineer – Informatica

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Senior Data Engineer who will play a key role in building and scaling modern data platforms. In this role, you’ll architect and support end to end ETL pipelines—leveraging Informatica PowerCenter—to ingest, transform, and curate data from internal systems and SaaS platforms into our enterprise data warehouse, data lake, data marts, and other downstream analytics platforms.

This is a hands-on opportunity to design robust data pipelines, shape data architecture, and help drive smarter business decisions across the organization.

If you enjoy working with large datasets, improving data quality, and leveraging automation/AI to move faster—this is a great fit.

What You’ll Do

• Design and build scalable ETL pipelines for enterprise data platforms
• Transform data from internal systems and SaaS tools into clean, usable datasets
• Develop and maintain data models that support analytics and reporting
• Partner with business and technical teams to turn requirements into data solutions
• Ensure data quality, reliability, and performance across pipelines
• Contribute to best practices around DataOps, testing, and code quality
• Support and mentor others through code reviews and collaboration
• Help drive improvements in data architecture and engineering standards

What We’re Looking For

• Experience with enterprise ETL platform – Informatica Required
• 4+ years of experience in data engineering, analytics, or similar roles
• Strong experience working with large-scale data environments
• Hands-on development experience with Python (preferred), Java, or Scala
• Experience building and optimizing ETL pipelines (any modern ETL tools)
• Solid understanding of data modeling and data warehousing concepts
• Experience working in cloud-based data environments is a plus
• Ability to work cross-functionally and communicate with both technical and business teams
• Exposure to DataOps, data quality frameworks, or metadata management
• Experience delivering end-to-end data projects

Note to Agency Recruiters: ComResource will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any ComResource colleagues, directly or indirectly, will be considered ComResource property.