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, solid SQL, and experience with data warehouses (BigQuery, Redshift, Snowflake) and Postgres, plus