Cloud Data Engineer — AI-Ready Pipelines & Impact
Summary
Semios, an agriculture technology company, seeks a data engineer in Vancouver to design, build, and maintain scalable cloud data pipelines that turn raw data into trusted, analysis-ready datasets. The role involves optimizing pipelines and integrating diverse data sources with Engineering and Data Science teams using SQL, cloud warehouses (BigQuery, Redshift, Snowflake), and Postgres.
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
