Jobs · Indiana

Sr Data Engineer

IDR, Inc. · Indianapolis, IN · Yesterday
HybridFull-time
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 environmentImplement ingestion and transformation patterns aligned to Bronze/Silver/Gold (medallion) architectureIntegrate data from SaaS platforms, enterprise systems, and REST APIs for analytics and reporting use casesCollaborate with BI/reporting stakeholders to deliver reliable, well-modeled data productsContribute to operational excellence through monitoring, documentation, and continuous pipeline optimizationRequirements for the Sr Data Engineer:8+ years of hands-on data engineering experience supporting enterprise-scale data pipelinesStrong Python and SQL skills (PySpark strongly preferred) for data processing and transformationAWS 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 practicesExperience with modern data platforms such as Databricks and/or Microsoft Fabric, supporting analytics consumersWhat's in it for you?Competitive compensation packageFull 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 marketsEmployee Stock Ownership ProgramDedicated Engagement Manager who is committed to you and your success.Medical, Dental, Vision, and Life InsuranceClearlyRated'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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