Data Engineer Leader

1 day ago

Chicago, Illinois, United States Grainger Full time

Grainger is a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom. We Keep The World Working by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships.

We are dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results. With sales of $16.5 billion, we're committed to our mission and values.

The ideal candidate will have at least 10 years of experience with Modern Data Engineering projects and practices, including designing, building, and deploying scalable data pipelines. They will also have expertise in cloud native solutions, AWS, Snowflake, DBT, Airflow/Astronomer, Python, Docker/Kubernetes, CI/CD, Git, and Databricks.

Job Description

We are seeking a Senior Staff Data Engineer to join our Customer Information Management (CIM) team. The team's primary mission is to build analytical data products by creating, gathering, maintaining and operationalizing real-world information about our customers to drive growth actions across sales and marketing.

The successful candidate will be responsible for helping design and develop data pipelines and data products. They will work closely with SMEs, architects, analysts, data scientists, stakeholders and others to build solutions that integrate, process and store data from many of our internal and external enterprise data sources.

This role will be reporting to the Manager, CIM, Product Engineering and is based out of Chicago.

Responsibilities:

  • Enable analytics and reporting by centralizing and integrating high quality, large, complex data sets in a highly performant and scalable cloud analytical platform
  • Work closely with architects, stakeholders, and product teams to implement data pipelines to ingest, cleanse, and enrich data for analytics to downstream stakeholders
  • Design and implement secure, performant data models to meet the scalability and performance needs of data product
  • Understand trends and emerging technologies and evaluate the performance and applicability of potential tools for our requirements
  • Build data models with DBT to transform data and ensure data quality by creating DBT unit tests
  • Build and maintain the data quality dashboards in Streamlit
  • Partner with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
  • Develop data products/systems using large and complex data sets to meet business and technical requirements
  • Work with product and business to define roadmap, communication and architecture
  • Promote effective team practices, shape team culture, and engage in active mentoring
  • Pair program with developers daily to ensure better quality code, shared knowledge and increased resiliency of our applications
  • Advocate for best practices on the team and prescribe coding and testing standards and tools
  • Work across the CIM Domain to establish best practices and coherent ways of working between and within teams

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