Seeking a full-time Data Engineer 3, the successful candidate will work remotely to architect and build scalable data pipelines, develop complex ETL workflows, and implement robust data lake architectures using SQL, Python, and Apache Spark. Key Responsibilities Architect, design, and build high-performance data pipelines for large-scale data processing Develop and implement ETL workflows using modern frameworks like Databricks Delta Live Tables Define and enforce data engineering best practices to ensure data quality and reliability Required Qualifications Bachelor's degree in a relevant field or equivalent experience 5-7 years of experience in Data Engineering Proficiency in SQL and Python, with hands-on experience in Databricks and/or Snowflake Understanding of cloud-based architectures, specifically AWS Certifications such as AWS Certified Developer Associate or Databricks Certified Data Engineer Associate are preferred