Data Engineer

Build and maintain the data infrastructure that powers our analytics, machine learning, and business intelligence initiatives. You'll design scalable data pipelines that process terabytes of data daily, ensuring our data scientists and analysts have reliable access to clean, well-structured datasets.

Our data team works closely with engineering, product, and business stakeholders to democratize data access across the organization. You'll have the opportunity to work with modern data stack technologies while solving interesting problems around data quality, lineage, and real-time processing.

• 4+ years of experience in data engineering or related field
• Strong proficiency in Python and SQL with experience in data modeling
• Experience with cloud data platforms (our company, BigQuery, or Redshift)
• Knowledge of data pipeline tools (Airflow, dbt, Kafka, or similar)
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Understanding of data warehousing concepts and ETL/ELT processes
• Experience with version control and CI/CD practices for data workflows