Data Engineer III

Chewy - Plantation, FL

Full-time - Mid Level

Plantation, FL

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

Chewy's Data Analytics team is seeking a Senior Data Engineer (Data Engineer III) to enhance the Speech Analytics platform. This role involves building and maintaining data pipelines, supporting VOC data democratization, and integrating metadata for improved reporting. The engineer will also lead customer experience survey mechanisms and contribute to various data responsibilities, all while developing advanced data products to meet business needs.

Responsibilities

• Develop, optimize, and maintain data architecture and pipelines using advanced design and programming patterns.
• Manage and enhance SSOT tables and data marts critical for daily business decisions.
• Act as a trusted advisor to analytics teams and business partners, providing expert consultation and communicating sophisticated data-driven insights.
• Mentor and coach peers on data standards and best practices, promoting a culture of continuous learning and improvement.
• Lead the evaluation and deployment of cutting-edge tools and processes for data engineering to boost overall organizational productivity.
• Collaborate with leaders, vendors, and data practitioners across Chewy to develop technical architectures for strategic projects and initiatives.
• Document technical details of work and adhere to agile methodologies, utilizing tools such as Jira and Confluence.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
• At least 5 years of experience in data engineering, with a strong focus on data integration and pipeline construction in cloud environments and enterprise data warehouses like Snowflake.
• Expertise in SQL and programming languages such as Python; familiarity with big data technologies like Apache Hadoop, Spark, and Kafka.
• Demonstrated ability to lead projects and communicate effectively with stakeholders at all levels.
• Strong problem-solving skills and the ability to adapt to new technologies and changing business requirements.

Nice-to-haves

• Strong proficiency in Python.
• Prior experience leveraging top Speech & Text Analytics/VOC/Customer Feedback Management software in e-commerce, retail, or startup environments.
• AWS Developer or Data Analytics certifications.
• Experience with BI tools such as Tableau, Power BI, or similar, and familiarity with Speech Analytics platforms like XM Discover, Qualtrics, or Clarabridge.