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Chewy

Data Engineer II

Posted 2 Days Ago
Hybrid
Plantation, FL
Senior level
Hybrid
Plantation, FL
Senior level
Responsible for designing, developing, and maintaining data pipelines and products, supporting analytics and reporting capabilities for business needs.
The summary above was generated by AI

Our Opportunity:
Chewy is seeking a Data Engineer II to join the growing Transportation Systems team. You will be a part of a team responsible for strategic system design, research initiatives, and financial data cataloging centered around our transportation planning and execution. This includes building enterprise data pipelines that drive analytic solutions and creating data products for analytics and data scientist team members to improve their productivity. The Transportation team operates in a fast-paced environment where every day brings new challenges and opportunities. You will be responsible for building and implementing data products and technologies which will handle the growing business needs and play a key role in redefining what it means to be a world-class ecommerce organization.
What You'll Do:

  • Own the design, development, and maintenance of our end to end data pipelines!
  • Tackle complex data issues to provide insights needed to accomplish our business goals
  • Develop data products for analytics and data scientist Team Members to boost their efficiency
  • Assist in crafting Proof of Concepts and advise, consult, mentor and coach other data and analytic professionals on data standards and practices
  • Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering to improve our efficiency as a team
  • Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
  • Code, test, and detail new or modified data systems to build robust and scalable applications for data analytics
  • Actively contribute to team discussions and initiatives, valuing diverse perspectives and encouraging a cooperative work atmosphere.
  • Data cataloging & documentation of data sources
  • Regularly meet with business partners and analytics teams to understand and solve data needs, short-term and medium-term
  • Build trust with internal collaborators to encourage data-driven decision-making
  • Partner with data engineering to grow the value of our data products by onboarding new data from our backend and 3rd party systems


What You'll Need:

  • Bachelor of Science or Master's degree in Computer Science, Engineering, Information Systems or 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.
  • Current permanent U.S. work authorization is required
  • Expertise crafting and implementing enterprise data pipelines using modern data engineering approach and tools: Spark, PySpark, Scala, Docker, Databricks, Glue, cloud-native EDW (Snowflake, Redshift), Kafka/Confluence, Presto/Dremio/Athena
  • Proficiency in AWS ecosystem, Java, 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 with building statistical and predictive models from scratch.
  • 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.
  • Familiarity with supply chain and logistics a plus
  • Demonstrated experience working with and delivering to various key Team Members from different parts of the company (Finance, Engineering, Human Resources, Supply Chain etc.)
  • Excellent written and oral communication skills
  • This role requires 5% domestic travel


Chewy values diversity and inclusion. Contact [email protected] for accommodations related to disabilities or religion.
If you have a question regarding your application, please contact [email protected].
To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].
If you have a question regarding your application, please contact [email protected].
To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Top Skills

Athena
AWS
Confluence
Databricks
Docker
Dremio
Glue
Java
Kafka
Presto
Pyspark
Python
Redshift
Scala
Snowflake
Spark
SQL

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