Senior Data Engineer (Remote)

Description: Build and own the data foundation for analytics, reporting, and decision-making across the organization. Design dimensional models and manage data pipelines, ensuring a reliable data architecture. Requirements: 5+ years of experience in data engineering or analytics engineering, with a focus on dimensional modeling in production. Strong proficiency in SQL and experience with operational databases (e.g., MongoDB) and analytical data warehouses (e.g., BigQuery, Snowflake). Hands-on experience with ETL/ELT pipelines and orchestration tools (e.g., Airflow). Understanding of data modeling best practices and performance optimization. Benefits: Opportunity to shape data architecture standards in a growing environment. Collaborate with a skilled data team and cross-functional partners to enhance data systems.