Data Engineer II

Chewy•Bellevue, WA

27d

About The Position

At Chewy, we're on a mission to become the most trusted and convenient destination for pet parents everywhere. The Data Platform team in the Marketing Sciences Organization sits at the intersection of data, marketing, and innovation - helping us understand our customers, personalize their experiences, and measure the impact of every interaction. We're looking for a Data Engineer II who is passionate about building data ecosystems that unlock insights and fuel smarter decisions. This is more than a data engineer role - it's an opportunity to shape how Chewy thinks about marketing data at scale and to help drive the future of customer engagement.

Requirements

Bachelor's degree in Computer Science or related field or 3+ years relevant experience
Current permanent U.S. work authorization is required
Expert level skills writing and optimizing complex SQL
Knowledge of data warehousing concepts.
Experience in data mining, profiling, and analysis
Experience with complex data modelling, ETL design, and using large databases in a business environment
Proficiency with Linux command line and systems administration
Experience with languages like Python, Ruby, Java, or similar language
Experience with Big Data technologies such as Hive/Spark.
Proven ability to develop unconventional solutions; Sees opportunities to innovate and leads the way
Excellent verbal and written communication; Proven interpersonal skills and ability to convey key insights from complex analyses in summarized business terms; Ability to effectively communicate with technical teams
Ability to work with shifting deadlines in a fast-paced environment

Nice To Haves

Authoritative in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies
Experience with building data pipelines and applications to stream and process datasets at low latencies.
Demonstrate efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
Knowledge of Engineering and Operational Excellence using standard methodologies.

Responsibilities

Design, implement, and improve the analytics platform
Implement and simplify self-service data query and analysis capabilities of the BI platform
Develop and improve the current BI architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility
Deploy and use various big data technologies and run pilots to design low latency data architectures at scale
Collaborate with business analysts, data scientists, product managers, software development engineers, and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction, forecasting, clustering, and machine learning algorithms
Partner with other BI and analytics teams to build and verify hypotheses to improve the discovery experience

Benefits

this position is eligible for 401k and a new hire and annual equity grant
We offer different types of insurance and benefits, 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.
Exempt salary team members have unlimited PTO, subject to manager approval.
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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