Senior Data Engineer

Factored is seeking a Senior Data Engineer to design and evolve data architectures for global and Fortune 500 organizations. The ideal candidate will have experience with ETL processes, SQL queries, and large-scale data pipelines, and be able to navigate complex data environments and take ownership of data reliability and quality.

Requirements

• Develop and maintain ETL processes using Python
• Write efficient SQL queries to extract, manipulate, and analyze data from various databases
• Design, build, and optimize large-scale data pipelines using modern cloud data platforms such as Databricks and Snowflake
• Design and develop optimal data processing techniques, including automating manual processes, data delivery, data validation, and data augmentation
• Collaborate with stakeholders to understand data needs and translate them into scalable solutions
• Design and develop API integrations in order to feed different data models
• Architect and implement new features from scratch, partnering with AI/ML engineers to identify data sources, gaps and dependencies
• Identify bugs and performance issues across the stack, including performance monitoring and testing tools to ensure data integrity and quality user experience
• Build a highly scalable infrastructure using SQL and AWS big data technologies
• Keep data secure and compliant with international data handling rules

Benefits

• Ownership through equity participation
• Annual company retreat
• Education bonus for continuous learning
• Company-wide winter break
• Paid time off
• Optional in-person events and meetups
• Tailored career roadmaps
• High-performance culture

Originally posted on Himalayas