Job Description

Our Opportunity: 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.

Key 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

Basic Qualifications

• 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

Preferred Qualifications

• 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.

Job Tags

Similar Jobs