Staff Data Engineer, Analytics at Whatnot in San Francisco, CA

Job Description

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

About this kind of role

What a Staff Data Engineer, Analytics 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 analytics and reporting. They work with large datasets, ensuring data quality, reliability, and scalability. This role often involves mentoring junior engineers and collaborating with data scientists and analysts to understand their needs. Staff Data Engineers are expected to contribute to architectural decisions and drive improvements to the data platform.

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

Good fit for: Individuals with strong problem-solving abilities, a passion for data, and a desire to build robust and scalable data solutions thrive in this role.

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