Staff Data Engineer, Wizard

• 5+ years of software development and data engineering experience with demonstrated ownership of production grade data infrastructure
• Bachelor's degree in Computer Science or a related field, or equivalent practical experience
• Deep expertise scaling Spark in production (Databricks, EMR, etc)
• Strong understanding of distributed computing and modern data modeling for scalable systems
• Proficient in Python with experience implementing software engineering best practices
• Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases
• Strong communicator with experience influencing cross functional stakeholders

Desirable

• We are seeking a Staff Data Engineer with deep expertise in PySpark to join our data team
• This is a hands-on technical role for someone passionate about building scalable data systems, mentoring engineers and shaping data strategy
• You’ll architect systems that power high performance batch and real time data processing, enable advanced analytics and accelerate our AI initiatives
• Design and evolve scalable, distributed data infrastructure across cloud platforms
• Build and maintain real time and batch data processing pipelines supporting analytics and AI/ML workloads
• Develop and manage integrations with third party e-commerce platforms to expand our data ecosystem
• Ensure data availability, reliability and quality through monitoring and automated auditing
• Partner with engineering, AI and product teams on data solutions for business critical needs
• Mentor and support data engineers, establishing best practices and code quality standards