Senior Data Engineer: Build and Scale Innovative Data Solutions

Embrace an exciting opportunity as a remote Senior Data Engineer. Lead the charge in building scalable data solutions, utilizing Databricks on AWS for impactful results. This mid-senior level position involves hands-on design and implementation of data engineering solutions aimed at optimizing performance and ensuring data integrity. You will engage with product, analytics, and engineering teams to translate requirements into efficient systems, focusing on complex datasets and innovative data practices. Key Responsibilities: • Build and maintain scalable ETL/ELT pipelines using Databricks • Work with large datasets in live production settings • Write structured, efficient Python and SQL code • Create data pipelines from scratch, ensuring best practices • Collaborate on architecture decisions and data models Requirements: • 7+ years of experience in Data Engineering • Expert in Python, SQL, PySpark, Databricks (production) • Proven track record of designing end-to-end data pipelines • Understanding of distributed data processing principles • Strong command of English, both written and spoken Utilize your skills in data engineering, working on transformative projects that shape the future of data at a remote-first organization.