Semios is seeking a Data Engineer to design, build, and maintain scalable cloud-based data systems that transform raw data into trusted, analysis-ready datasets. You will collaborate with Engineering and Data Science teams to optimize data pipelines and integrate diverse data sources for AI-ready foundations powering agriculture products.
Ideal candidates have 3–5 years in data engineering, strong SQL, and experience with data warehouses (BigQuery, Redshift, Snowflake) and Postgres, plus

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Cloud Data Engineer — AI-Ready Pipelines & Impact