Big Data Engineer [Spark, Python, Orchestration]

Join one of the largest accounting and consulting firms in the southeastern U.S. as a Big Data Engineer, where you'll be at the forefront of innovation and change. This role focuses on building and managing big data workflows using next-generation Data Workflow Orchestration platforms, ensuring high throughput and horizontal scalability. You'll be responsible for developing ETL frameworks for incremental data processing, directly impacting the cost and operational efficiency of Analytics and ML systems.

Working in a collaborative, cross-functional environment, you'll have the opportunity to build next-gen capabilities on scalable and secure enterprise-grade platforms. The role combines technical expertise in data engineering with business acumen, as you'll be working with various business and technology partners across the firm and client sectors.

The position offers the flexibility of remote work across Latin America, operating on CST timezone with a full-time (40 hours/week) contract basis. You'll be part of a team that values innovation, continuous learning, and professional growth. The role requires strong technical skills in data engineering, including expertise in Spark, Python, and various orchestration tools, making it an excellent opportunity for experienced data engineers looking to work on challenging, large-scale data projects.

This role is perfect for someone who enjoys solving complex data challenges, has a strong technical background, and wants to work with cutting-edge technologies in big data and analytics. You'll have the chance to make a significant impact on the organization's data infrastructure while working with a supportive team that encourages professional development and innovation.