Joining a dynamic team, the entry-level Data Engineer will work remotely to develop high-volume data processing jobs and support data scientists and analysts in utilizing data effectively. Key responsibilities Develop high volume data processing jobs across platforms like Redshift, Athena, Iceberg, Spark, and Airflow Debug queries, monitor jobs, identify performance bottlenecks, and enhance system efficiency Collaborate with data scientists, analysts, and product managers to support data initiatives Required qualifications Bachelor's degree in Computer Science or related field, or equivalent experience 1+ year of professional experience in data engineering Knowledge of SQL and databases (MySQL / Redshift / Athena), and data modeling Experience with workflow orchestrators such as Dagster, Airflow, or Prefect Proficiency in Python programming