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# Data Engineer

- **Company:** Capgemini
- **Location:** Atlanta, GA, United States
- **Salary:** $93,330.0 - $145,746.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Batch Processing, Data Architecture, Data Integrity, Extract Transform Load (ETL), Data Systems, Performance Tuning, Data Streaming, Azure Data Factory, Microsoft Fabric, Data Pipelines
- **Published:** May 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8337634065e361f1

## About the Role

Do you have experience in Data Architecture Design (Architecture design skills)?, * Experience as a Data Engineer working with the Azure data ecosystem

 * Hands-on experience with Microsoft Fabric (e.g., Lakehouse, Data Pipelines, Warehouses, or equivalent components)
 * Strong understanding of modern data architecture patterns (ELT/ETL, lakehouse, streaming, batch processing)
 * Ability to work independently, manage priorities, and deliver without heavy oversight
 * Proven experience supporting product-oriented or product-led teams, rather than pure platform or support roles
 * Strong problem-solving skills and ownership mentality, * Experience working in agile or product-driven development environments
 * Familiarity with data modeling, performance tuning, and cost optimization in Azure
 * Strong communication skills and ability to work cross-functionally, * A self-directed engineer who thrives in ambiguous problem spaces
 * Someone who treats data solutions as products, not just pipelines
 * A builder who values impact, quality, and long-term maintainability

## Description

We are seeking a Data Engineer with a strong product-oriented mindset and hands-on experience across the Azure data stack, including Microsoft Fabric. This role is ideal for an independent, self-driven engineer who takes ownership of end-to-end data solutions and partners closely with product and business stakeholders., * Design, build, and maintain scalable data pipelines and platforms using Azure services and Microsoft Fabric

 * Own data products end-to-end, from requirements and design through deployment and optimization
 * Develop reliable, high-quality datasets to support analytics, reporting, and downstream applications
 * Collaborate closely with product managers, analysts, and engineers to translate business needs into data solutions
 * Ensure data reliability, performance, security, and governance across platforms
 * Identify opportunities to improve data architecture, tooling, and engineering best practices
 * Operate with a high degree of autonomy, making technical decisions aligned with product goals


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