Data Engineer II
lever
Job Description
- Architect and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.).
- Develop ETL/ELT processes to ingest data from various structured and unstructured sources.
- Perform Exploratory Data Analysis (EDA) to uncover trends, validate data integrity, and derive insights that inform data product development and business decisions.
- Collaborate closely with data scientists, analysts, and software engineers to design data models that support high-quality analytics and real-time insights.
- Write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability in Python.
- Thrive in an agile, collaborative environment and take ownership of end-to-end feature delivery.