Staff Data Engineer

Bachelor's or Master's degree in Computer Science or related field. Fluency in building and maintaining ETL processes. Outstanding analytical skills. Demonstrated ability to work in a team and share knowledge. 8+ years of full stack or backend development experience. Expertise in modern ETL technologies and data pipelines at scale. Proven experience in evaluating and optimizing data architectures. Proven experience with cloud-based data engineering pipeline design at scale. Proficiency in Python or Java, and SQL. Well-versed in the development lifecycle and software engineering best practices. Excellent verbal and written communication skills. Comfortable working in a fast-paced, dynamic environment.

Collaborate with teams to develop data models and pipelines for various applications. Develop, implement, and optimize ETL processes for large data volumes. Optimize data models for efficient storage and retrieval. Evaluate and implement various data storage solutions. Partner with Platform Engineering to influence data platform direction.