Data Engineer II, Marketing
Our Opportunity:
Chewy is looking for a Data Engineer II, Marketing to join the Marketing Science & Operations team. The Data Engineer will be responsible for creating and deploying the data pipelines and platform integrations to enable the Marketing teams. This role will own all Marketing data from end-to-end, including data ingestion, transformation, visualization, and data architecture to ensure best-in-class operational reliability and modularity. These data solutions optimize our media investment and efficacy of content for both paid media and customer engagement programs.
What you'll do:
- Implement the strategy, design, execution, system configuration and operations of the business's marketing databases that help marketers in data driven decision making
- Monitor data pipelines for accuracy, missing data, enhancements, changes, and billing volumes to ensure all data is captured and processed accurately and when needed.
- Work with cross-functional stakeholders in defining and documenting requirements for building high quality and impactful data products
- Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements
- Lead the evaluation, implementation and deployment of emerging tools and technologies to improve our productivity as a team.
- Develop and deliver communication and education plans on data engineering capabilities, standards, and processes.
- Code, test, and document new or modified data systems to create robust and scalable applications for reporting and data analytics.
- Own and document data pipelines, monitoring, data accuracy and data lineage
What you'll need:
- Bachelor of Science degree in Computer Science, Information Systems, or related field
- 3+ years of Data Engineering experience focused on Data Modeling, Data Architecture and Developing modern data pipelines and applications for reporting and analytics.
- Experience in working with marketing data is a huge plus.
- 1+ years professional Python experience
- Experience in SQL, data warehouse, performance tuning and ETL pipelines.
- Experienced with setting up end to end data pipelines in an enterprise environment.
- Knowledge on ML practices and production systems.
- Hands-on with Cloud computing technology like AWS, Google Cloud, etc.
- Experience in Tableau, Looker, or similar visualization / business intelligence platform
- Ability to effectively operate both independently and as part of a team.
- Self-motivated with strong problem-solving and self-learning skills.
- E-com, Retail or startup experience is a plus.
- Position may require travel
Bonus:
- Experience with technologies like PyTorch, JavaScript, D3.js and Restful APIs and Snowflake, Vertica, Postgres, etc.
- Exposure to Apache Airflow or other DAG frameworks is nice to have
- MarTech Knowledge is a plus
- Hands on experience with Media Mix Modelling is a plus
- Understanding of link tracking, pixels/tags, Google Analytics, and marketing attribution
- Experience with developing solutions on cloud computing services and infrastructure with AWS (S3, Athena, Glue, Lambda)
- Expertise designing and implementing data pipelines using modern data engineering approach and tools: Spark, PySpark, Java, Docker, cloud native DWH (Snowflake, Redshift), Kafka/Confluence etc
- Experience with CI/CD process and platforms
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.
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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, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact [email protected].
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