Data Engineer III

Our Opportunity:

Chewy is seeking a Senior Data Engineer - Discovery for our Discovery Labs team in Bellevue, WA. In this position, you will help us build scalable, robust data solutions for Discovery at Chewy. You will demonstrate a passion for delivering outstanding customer experience, experience of building scalable solutions and will bring communication skills that allow you to instill trust in the team that you are working with. Millions of pet parents with unique needs visit Chewy.com looking for products for their beloved pets. We have the task to decide what products would be most useful to them and help them discover those products. How do we do this? Meet Personalization team @ Chewy. We use best of machine learning techniques and continuously test the outcomes to simplify product discovery for pet parents looking for their pet needs on Chewy.com. Our exceptional multi-disciplinary team of data scientists, data engineers, software engineers and product managers work together to power personalized recommendations and product discovery for pet parents. Our team has single threaded ownership of the space allowing us to decide impactful products that we can experiment, measure with metrics and deliver at a fast pace.

 What You'll Do:

You love building tools and data pipelines, can create clear and effective reports and data visualizations, and can partner with stakeholders to answer key business questions. You will also have the opportunity to display your skills in the following areas:

• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources
• Design data schema and operate internal data warehouses and SQL/NoSQL database systems
• Write Extract-Transform-Load (ETL) jobs and Spark/Hadoop jobs to calculate business metrics
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
• Monitor and troubleshoot operational or data issues in the data pipelines
• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions

 What You'll Need:

• Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience
• 8+ years of Relevant work experience in analytics, data engineering, business intelligence or related field.
• 6+ years Extensive experience in implementing big data processing technology: Hadoop, Apache Spark, etc.
• 6+ years Experience using SQL queries, experience in writing and optimizing SQL queries in a business environment with large-scale, complex datasets
• 6+ years Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments

 Bonus:

• Graduate degree in Computer Science, Mathematics, Statistics, Finance, related technical field
• Experience in data visualization software (Tableau/Qlikview) or open-source project
• Strong ability to effectively communicate with both business and technical teams
• Demonstrated experience delivering actionable insights for a consumer business
• Proficiency with search technologies (Elasticsearch and the Elastic stack)
• Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
• Experience with AWS technologies including Redshift, RDS, S3, EMR

Compensation & Benefits:

The salary range for this position is $107,000-$215,000. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.

We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Non-exempt hourly team members accrue paid time off (PTO) while salaried-exempt team members have unlimited PTO, subject to manager approval. Non-exempt hourly team members in Fulfillment Centers and Customer Service are also eligible for additional unplanned unpaid time off (UTO). Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

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