IDR, Inc.

IDR is seeking a Sr Data Engineer to join one of our top clients for an opportunity in Indianapolis, Indiana. In this role, you’ll build and optimize cloud-based data pipelines and curated datasets that power enterprise reporting and analytics. You’ll partner closely with data, BI, and platform teams in a large, fast-moving technology consulting environment.

Position Overview for the Sr Data Engineer:

• Design, build, and support scalable data pipelines in an AWS-based data lake environment
• Implement ingestion and transformation patterns aligned to Bronze/Silver/Gold (medallion) architecture
• Integrate data from SaaS platforms, enterprise systems, and REST APIs for analytics and reporting use cases
• Collaborate with BI/reporting stakeholders to deliver reliable, well-modeled data products
• Contribute to operational excellence through monitoring, documentation, and continuous pipeline optimization

Requirements for the Sr Data Engineer:

• 8+ years of hands-on data engineering experience supporting enterprise-scale data pipelines
• Strong Python and SQL skills (PySpark strongly preferred) for data processing and transformation
• AWS data engineering experience (e.g., S3, Glue, Lambda; CDC/replication tools a plus)
• Experience implementing medallion architecture concepts (Bronze/Silver/Gold) and data lake best practices
• Experience with modern data platforms such as Databricks and/or Microsoft Fabric, supporting analytics consumers

What's in it for you?

• Competitive compensation package
• Full Benefits; Medical, Vision, Dental, and more!
• Opportunity to get in with an industry leading organization.

Why IDR?

• 25+ Years of Proven Industry Experience in 4 major markets
• Employee Stock Ownership Program
• Dedicated Engagement Manager who is committed to you and your success.
• Medical, Dental, Vision, and Life Insurance
• ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row.

If you want tweaks (more/less technical, different emphasis on AWS vs. Fabric/Databricks), tell me what you want highlighted. Please leave a thumbs up/down on this output so I can match your preferred style next time.

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