Staff Data Engineer

Grainger

Grainger, a prominent industrial distributor, operates mainly in North America, Japan, and the UK, serving over 4.5 million customers globally. With a dedication to innovation and customer relationships, the company achieved $16.5 billion in sales in 2023. The Pricing team, a key part of Grainger’s strategic growth, develops and maintains technology to derive optimal product pricing.

In this role you can expect to have the responsibilities:

• Centralize and integrate large data sets in a scalable cloud platform for analytics and reporting.
• Collaborate with architects to design data lake architectures, pipelines, and publication strategies.
• Implement pipelines to ingest, cleanse, and enrich data for analytics purposes.
• Design secure, scalable data models to meet data product needs.
• Facilitate data discovery and curation for analytical use.
• Develop frameworks and standards for self-service analytics.
• Foster effective team practices and mentor junior members.
• Partner with stakeholders to address data-related technical challenges.

This role comes with the following benefits:

• Comprehensive medical, dental, vision, and life insurance starting day one.
• 18 PTO days annually and 6 company holidays.
• 6% company contribution to a 401(k) Retirement Savings Plan.
• Employee discounts, tuition reimbursement, loan refinancing, and financial counseling.
• Maternity and nursing support programs with up to 14 weeks paid leave for birth parents.

This role requires you to have:

• 10 years of experience in modern data engineering projects.
• 5+ years of experience in cloud-native solution design and deployment.
• 3+ years of experience with AWS, Snowflake, DBT, Python, Docker/Kubernetes, CI/CD, Git.
• Experience with data lakes, pipelines, and data product publication strategy.
• Proficiency in developing systems leveraging large, complex datasets.

You would benefit from having:

• Technical lead experience.
• Experience mentoring team members.
• Partnering with internal departments for requirement establishment.
• Advanced analytics and machine learning experience.
• Experience in implementing data management life cycle.
• Familiarity with BI tools like Tableau, PowerBI.

Grainger champions equal employment opportunities, fostering an inclusive environment. They provide reasonable accommodations for individuals with disabilities during the hiring process and employment.