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WI

Wizard

via Greenhouse

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Staff Data Engineer (PySpark)

Anywhere
Full-time
Posted 1/9/2026
Direct Apply
Key Skills:
PySpark
Distributed Data Systems
Data Engineering

Compensation

Salary Range

$208K - 235K a year

Responsibilities

Designing and maintaining scalable data infrastructure and pipelines to support analytics and AI/ML workloads.

Requirements

Requires 5+ years in software/data engineering, expertise in Spark, Python, and experience with relational and NoSQL databases.

Full Description

About Us Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust. The Role 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. Key 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 You 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 Have 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. Compensation & Benefits The expected base salary range for this role is $208,000 – $235,000 USD, and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities. In addition to base salary, Wizard offers: Equity in the form of stock options Medical, dental, and vision coverage 401(k) plan Flexible PTO and company holidays Fully remote work within the United States Periodic company-wide offsites and team gatherings Wizard is committed to fair, transparent, and competitive compensation practices.

This job posting was last updated on 1/13/2026

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