Principal Data Engineer

Morningstar, a leading financial services company, is seeking a Principal Data Engineer to shape their data infrastructure and strategy. This role combines technical expertise with strategic vision, focusing on building robust data structures and implementing event-driven ETL/ELT processes. The position requires working from the Chicago office at least 3 days per week under a hybrid model.

The ideal candidate will bring 10+ years of experience in data engineering, with deep expertise in Python, SQL, and AWS technologies. They'll be responsible for designing and implementing scalable data solutions that support the company's Sales, Marketing, and Finance teams. The role involves both hands-on technical work and leadership responsibilities, including mentoring junior team members and collaborating with business leaders to align data systems with organizational goals.

This is an excellent opportunity for a seasoned data professional looking to make a significant impact at a respected financial services company. The role offers comprehensive benefits including competitive compensation ($143,250 - $257,850), excellent healthcare coverage, generous 401(k) matching, and various wellness programs. The position combines technical challenges with strategic thinking, making it ideal for someone who wants to shape the future of data infrastructure while working with cutting-edge technologies.

The successful candidate will lead initiatives in data architecture, pipeline development, and system optimization, while also serving as a technical mentor and advocate for best practices. They'll work with modern tools and technologies including AWS services, data warehousing solutions, and various ETL/ELT tools, making this an exciting opportunity for continued professional growth and development.