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.