Data Engineer III
About The Position
Our Opportunity: Advertising is a critical component of the ecommerce ecosystem and provides a critical revenue stream to the company. The Chewy Ads team is looking for Data Engineer III to help with integrating and processing data from various streams to influence product strategy, data science research and machine learning strategy, business and analytical team’s strategy. Chewy Ads creates a win-win ecosystem for shoppers, brand owners and Chewy. Shoppers (pet parents) are offered a range of alternate options to help them choose better and learn about new products, new brands, new promotions, and different price points. Brand owners and advertisers get to showcase their product offerings in the front row for their target audience (proud pet owners) and maximize their reach. Come be part of the Sponsored Ads team’s impactful journey at Chewy!
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
- 5+ years of experience in Data Engineering or Business Intelligence roles working with ETL, Data Modeling, and Data Architecture, developing modem data pipelines and applications for analytics (e.g., BI, reporting, dashboards) and advanced analytics (e.g., machine learning, deep learning) use cases.
- Expertise crafting and implementing enterprise data pipelines using modern data engineering approach and tools: Airflow, Spark, PySpark, Docker, Databricks, Glue, cloud-native EDW (Snowflake or equivalent), Kafka, Athena
- Proficiency in AWS ecosystem, Python, SQL
- Proficiency in data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized data marts.
- Experience with writing and reviewing version-controlled code (GitHub).
- Experience effectively presenting insights and summarizing complex data to diverse audiences through visualizations.
- To be a self-starter with the ability to take initiative and drive projects forward independently.
Nice To Haves
- Familiarity with Retail Media or Ad Tech is a plus
Responsibilities
- Own the design, development, and reliability of end-to-end analytics data pipelines
- Build and maintain scalable, analytics-ready data models and semantic layers
- Translate complex and ambiguous business needs into durable data solutions
- Develop high-quality data products that enable self-service for Analytics and Data Science partners
- Define, implement, and uphold analytic data engineering standards (modeling, testing, documentation, governance)
- Lead evaluation and adoption of tools and processes that improve data quality, velocity, and maintainability
- Write clean, well-tested, and maintainable code for robust analytic data systems
- Partner closely with Analytics, business stakeholders, and core Data Engineering to deliver high-impact data solutions
- Drive onboarding of new first- and third-party data sources in collaboration with Data Engineering
- Mentor peers, contribute to technical reviews, and raise the overall quality bar of the team
- Communicate data capabilities, limitations, and best practices clearly to stakeholders
- Actively contribute to team planning, discussions, and a collaborative engineering culture
Benefits
- 401k
- new hire and annual equity grant
- annual bonus
- medical/Rx insurance
- vision insurance
- dental insurance
- life insurance
- disability insurance
- hospital indemnity insurance
- critical illness insurance
- accident insurance
- parental leave
- family services benefits
- backup dependent care
- flexible spending accounts
- telemedicine
- pet adoption reimbursement
- employee assistance program
- discounts including 10% off pet insurance and 20% off at Chewy.com
- unlimited PTO, subject to manager approval
- six paid holidays per year
- paid sick and family leave in compliance with applicable state and local regulations
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What This Job Offers
Job Type
Full-time
Career Level
Senior
