Senior Data Engineer – Python / AWS / Modern Data Platforms Key Responsibilities • Build scalable data pipelines using Python and Spark/PySpark. • Develop, debug, test, and optimize production data solutions. • Work with Databricks, Snowflake, and modern data platforms. • Build and deploy solutions on AWS. • Apply strong software engineering and coding practices. Required Skills • ~5 years of hands-on Data Engineering experience. • Strong Python-first programming and debugging skills. • Hands-on Spark/PySpark experience. • Experience with AWS and Databricks/Snowflake. • Production experience building and supporting data pipelines. Good to Have • Financial Services domain experience. • Dagster or other data orchestration platforms. • Cloud-native data engineering experience.