Staff Data Engineer (Spark)

Wizard

98d • $208,000 - $235,000

About The Position

Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust. We are seeking a Staff Data Engineer with deep expertise in Spark 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.

Requirements

• 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

Nice To Haves

• Experience working in early-stage, high-growth environments
• Familiarity with MLOps pipelines and integrating ML models into data workflows
• Passionate about problem-solving with a proactive approach to finding innovative solutions

Responsibilities

• 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

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 51-100 employees