Staff Data Engineer

Company Summary: Zoro is an eCommerce company that’s on a mission to help business owners get everything they need to run their businesses and thrive–from office supplies to power tools. But we’re way more than a website. We’re a team of great people with an award-winning culture. Check us out and see for yourself!

Primary Function: As a Staff Data Engineer at Zoro, you will be a key leader in defining, designing, developing, and maintaining our data infrastructure. You will lead large-scale projects and strategic initiatives, working closely with business and technical partners to understand their challenges, desired outcomes, and long-term strategic vision. Your role will involve leading the design and construction of cloud-native data pipelines and services, ensuring they provide intuitive and efficient access to Zoro’s data across the enterprise.

In addition to driving the technical vision of the Data Engineering department, you will play a critical role in growing and transforming our operational and analytical data warehouse, supporting initiatives that involve intricate data integrations, high-volume data processing, Artificial Intelligence, Machine Learning, and business intelligence/insights. You will take ownership of the department’s technical debt ensuring that all solutions adhere to team, department, and Zoro’s development standards.

As a senior leader, you will be directly involved in complex projects that are business-critical, while also mentoring and guiding junior engineers to enhance their technical capabilities. Your strong technical background, exceptional problem-solving skills, and passion for innovation will be essential as you ensure the overall code health of the department and align the team's efforts with Zoro’s broader goals. Success in this role will require close collaboration with multiple business and technology partners across Zoro, ensuring a shared understanding of the tools and technologies needed to deliver on their vision. Your leadership will be pivotal in driving innovation and maintaining the highest standards of data engineering excellence.

Duties And Responsibilities:

• Technical Leadership: Contribute to the technical vision for the Data Engineering department, ensuring alignment with the company’s strategic goals. Provide technical leadership, strategic direction, and solution oversight across the entire department.
• Design and Architecture: Responsible for the overall design and architecture of scalable, reliable, and high-performance data systems to support business intelligence, analytics, and data science initiatives.
• Data Pipeline Development: Build, optimize, and maintain data pipelines to ensure efficient data flow from various sources to our data warehouse and other storage solutions.
• Software Craftsmanship & Data Integration: Advocate and implement best practices in software design, coding, testing, and deployment. Oversee the integration of data from multiple sources while ensuring data consistency and integrity.
• Data Governance: Implement and uphold best practices for data management, including data security, privacy, and compliance.
• Learning & Development: Engage in continuous learning and actively seek opportunities to grow your technical skills within data engineering principles. Provide technical guidance and mentorship to Senior Data Engineers.

Qualifications:

• Education: Master’s degree in Computer Science, Applied Mathematics, Engineering, or other technology-related fields; equivalent work experience is also acceptable.
• Experience: Minimum of 10 years in data engineering or related fields, with at least 3 years in a leadership or senior technical role.
• Technical Skills:
  • Programming Proficiency: Expert in at least one programming language, proficient in others, with a solid understanding of software craftsmanship, object-oriented principles, data structures, and algorithms.
  • Data Modeling: Expert level experience in data modeling and architecture.
  • Cloud Platforms: Expert level experience in cloud infrastructure.
  • Data Pipelines: Expert level experience with batch and streaming data pipelines.
  • Data Quality & Testing: Expertise in data quality assurance techniques, including validation and testing methodologies.
  • Data Microservices: Expert level experience in building data-focused microservices.
• Soft Skills:
  • Problem-Solving: Excellent analytical and critical thinking skills.
  • Communication: Ability to articulate complex technical concepts to non-technical stakeholders.
  • Organization: Excellent organizational skills with the capacity to manage multiple projects in a fast-paced environment.
  • Curiosity: A genuine curiosity about data and a proactive approach to exploring new tools and techniques.
  • Attention to Detail: Meticulous approach ensuring data quality and accuracy.
  • Leadership: Proven ability to lead, inspire, and mentor technical teams.
  • Teamwork & Collaboration: Ability to form collaborative relationships with stakeholders across the organization.