Data Engineer

📋 Description Design, develop, and maintain scalable ETL/ELT pipelines for data integration and analytics. Ingest, transform, and integrate data from diverse sources (flat files, JSON, XML, Excel, REST APIs, graphs). Build and optimize SQL and Python-based data processing solutions for ingestion and transformation. Manage data platforms and pipelines, incl Databricks Unity Catalog. Implement Lakehouse architectures to improve scalability and performance. Collaborate with teams and stakeholders to deliver reliable data solutions. 🎯 Requirements Bachelor's degree in CS/IS/DS/Engineering or related field. 3+ years of data engineering experience. Designing, building, maintaining scalable ETL/ELT pipelines. Strong SQL and Python skills for data processing. Databricks Unity Catalog and SQL Server Managed Instances experience. Streaming/batch ingestion and Lakehouse architecture knowledge. 🎁 Benefits Competitive pay and comprehensive health coverage. Flexible PTO and federal holidays off. Tuition reimbursement and professional development support. Wellness stipends and supportive culture. Remote-friendly, mission-driven work at Ardent.