Description
The Senior Data Engineer will design, build, and maintain scalable data pipelines and enterprise data platform infrastructure supporting analytics, data science, AI, and application teams. The role administers Snowflake environments, develops curated datasets, implements data governance and quality practices, optimizes platform performance, supports data source integrations, and leads incident response. It requires a bachelor’s degree in computer science, engineering, or a related field and 6–8 years of data engineering experience, along with expertise in SQL, Python, Snowflake, Spark, Airflow, dbt, data modeling, and CI/CD.
