Discover jobs tagged bins to find open positions where data engineers, analytics engineers, and ML engineers operationalize data binning, histogram bin selection, and feature bucketing across ETL and scalable data pipelines. This page shows a list of jobs (the nav) filtered by the tag bins (the item) within the Data Engineering & Analytics pillar, highlighting opportunities that require experience with data binning for feature engineering, bucketing strategies for aggregation and privacy, SQL partitioning, pandas, PySpark, and streaming and batch processing. Use the filtering UI to narrow results by location, seniority, or technology; explore role responsibilities like designing optimal bin boundaries, integrating binning into monitoring and model pipelines, and implementing high-performance bucketing for aggregation. Apply filters, review detailed job descriptions, and take action to match your skills to roles that operationalize bins in production systems.
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