The demand for cloud‑powered data engineering solutions is soaring as companies race to turn massive datasets into actionable insights. Mastering AWS analytics tools like Amazon QuickSight positions you at the heart of this transformation. This Data Engineer/BI role offers a chance to apply cutting‑edge Agentic AI techniques while delivering high‑impact visualizations.

Job Summary

We are seeking an experienced Data Engineer/Business Intelligence professional to design, build, and maintain scalable data pipelines on AWS, develop interactive dashboards using Amazon QuickSight, and leverage Agentic AI to automate advanced analytics. The role operates in a hybrid environment in Overland Park, KS, and is offered on a C2C contract basis.

Top 3 Critical Skills Table

Interview Preparation

1. How do you design an end‑to‑end data pipeline on AWS for real‑time analytics?
   What the interviewer is looking for: Understanding of services like Kinesis, Lambda, S3, Glue, Redshift, and best practices for scalability and fault tolerance.
2. Explain how you would implement role‑based security in Amazon QuickSight.
   What the interviewer is looking for: Knowledge of QuickSight groups, IAM policies, and data source permissions.
3. What is Agentic AI and how can it be integrated into a BI workflow?
   What the interviewer is looking for: Conceptual grasp of autonomous AI agents, prompt engineering, and practical integration points (e.g., automated report generation).
4. Describe a complex ETL transformation you have built on AWS and the challenges you faced.
   What the interviewer is looking for: Hands‑on experience with AWS Glue/Step Functions, handling schema drift, performance tuning, and cost optimization.
5. How do you monitor and troubleshoot performance issues in a data warehouse on Redshift?
   What the interviewer is looking for: Familiarity with Redshift Spectrum, query profiling, WLM queues, and CloudWatch metrics.

Resume Optimization

• Data Engineer
• Business Intelligence
• AWS
• Amazon QuickSight
• Agentic AI
• ETL
• Data Warehousing
• C2C
• Hybrid
• Overland Park

Application Strategy

When emailing the recruiter, start with a brief greeting, attach your updated resume, and clearly highlight your top relevant skills. Mention projects where you built AWS data pipelines, created QuickSight dashboards, and applied AI‑driven analytics. Make sure to reference at least two of the key skills listed in the job description, such as AWS and Amazon QuickSight, and explain how your experience aligns with the role.

Career Roadmap