Staff Data Engineer at Bloom Energy in Fremont, CA

Job Description

About this kind of role

What a Staff Data Engineer usually does. The employer's own details are in the listing.

Typically does: A Staff Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data warehousing, analytics, and machine learning initiatives. They often lead projects, mentor junior engineers, and collaborate with data scientists and business stakeholders to understand data needs. This role involves optimizing data systems for performance, scalability, and reliability, and ensuring data quality and governance. Staff Data Engineers are expected to contribute to architectural decisions and drive innovation in data engineering practices.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies (Snowflake, Redshift), ETL tools, and experience with big data frameworks (Spark, Hadoop) are typically required.

Good fit for: Individuals with strong problem-solving abilities, a passion for data, and a desire to lead and mentor others thrive in this role.

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