6+ years of experience in data engineering At least 2 years in a managerial capacity Strong proficiency in SQL, Python Experience with data pipeline orchestration tools (e.g., Airflow, DBT) Experience working with cloud-based data ecosystems (GCP, AWS, or Azure) Deep understanding of data modeling, warehousing, and ETL best practices Excellent communication and stakeholder management skills Proven ability to manage competing priorities in a remote-first environment