Senior Data Engineer

📋 Description

• Design and develop data pipelines: Build, maintain, and optimize scalable ETL/ELT pipelines that
• Build data warehouses and models: Develop and optimize data warehouses and data marts using
• Manage data ingestion and integrations: Create and maintain robust ingestion frameworks and API
• Implement data quality and governance: Establish validation rules, schema management practices
• Integrate AI into engineering workflows: Regularly use AI-powered coding assistants, intelligent
• Develop intelligent and agentic workflows: Build and support multi-step automated processes that

🎯 Requirements

• At least 5 years of experience in data engineering or a related backend, data-focused engineering
• Strong SQL and Python skills, including the ability to develop reliable transformation logic
• Hands-on experience with modern data engineering frameworks and tools, such as dbt, for building
• Proficiency with cloud platforms, preferably AWS, and experience with serverless data services.
• Experience designing scalable data models using approaches such as Kimball dimensional modeling
• Demonstrated ability to integrate third-party APIs and external data sources, develop reliable

🎁 Benefits

• Competitive compensation: Receive a competitive salary, with specific compensation details to be
• Flexible paid time off: Benefit from an unlimited paid time off policy, subject to applicable
• Remote-first work environment: Work remotely with flexible working hours, supporting greater
• Professional development budget: Access up to $2,000 per year for professional development
• Home office support: Receive a home office setup stipend to help create a productive and
• AI-focused innovation: Work with modern data engineering technologies and AI-assisted development