Zoro.com is looking to shape how data flows across the company by developing and optimizing modern pipelines, curated data products, and data services that power analytics, applications, and downstream integrations. The goal is to make Zoro's data not just available, but easy and impactful to use, fueling analytics, machine learning, and operational decision-making.
Requirements
- Proficient in SQL and at least one general-purpose programming language (Python preferred; functional programming concepts).
- Knowledge of designing and implementing data models and architectures; interest in developing domain-based modeling practices.
- Hands-on experience with at least one cloud platform (GCP preferred; AWS/Azure acceptable).
- Experience building and maintaining batch pipelines, with exposure to streaming frameworks (Pub/Sub, Kafka, Spark Streaming, etc.).
- Familiar with data validation, automated testing, and monitoring; applying best practices for ensuring data reliability.
- Some experience (or strong interest) in designing or supporting data APIs and microservices beyond traditional pipelines.
- 3–5 years of experience in data engineering, software development, or a related field, with exposure to data-intensive applications.
Responsibilities
- Build and optimize modern pipelines that serve as a single source of truth, powering analytical datasets, outbound streams, and service endpoints that downstream teams can rely on with confidence.
- Collaborate with engineers and cross-functional partners to integrate internal systems, third-party APIs, and external datasets, ensuring consistency, reliability, and business value.
- Design and implement domain-based data models (e.g., product, sales, supplier, customer, fulfillment, web events) that are scalable, intuitive, and enable rich insights across the business.
- Contribute to building data APIs and microservices that make curated data easily accessible to internal teams and external partners, supporting both analytical and application use cases.
- Apply engineering best practices — writing clean, testable, maintainable code with CI/CD, version control, and observability to deliver resilient, production-ready systems.
- Continuously improve query efficiency, data models, and services to ensure reliability and performance at scale.
- Champion best practices in data security, privacy, and compliance, embedding governance into every solution.
Other
- This role will be based out of our Chicago HQ and will have an onsite requirement of 2 days a week.
- Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or related field, or equivalent practical experience.
- Create and maintain clear, practical documentation for pipelines, APIs, and data models, ensuring solutions are easy to use and extend.
- Stay current with modern data engineering and software development practices, bringing new tools, patterns, and ideas that raise the bar for engineering excellence at Zoro.
- Apply engineering best practices — writing clean, testable, maintainable code with CI/CD, version control, and observability to deliver resilient, production-ready systems.
