United States onlyFactored 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
