Company Overview
W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products.
Role and Responsibilities
• Pioneer a new way of thinking about data pipelines, orchestration, and configuration.
• Develop next-generation micro-services to enhance and mature a data-driven culture.
• Help develop analytics and data Kubernetes products in AWS.
• Build data products for data science use cases.
• Assemble complex data sets that meet functional and non-functional requirements.
• Identify and design internal process improvements, including redesigning infrastructure for scalability, optimizing data delivery, and automating manual processes.
• Build tools for extraction, transformation, and loading of data from multiple sources.
• Create product features that enable self-service analytics.
• Collaborate with partners including data, design, product, and executive teams to resolve data-related technical issues.
Required Skills and Experience
• Proven experience developing and automating large-scale, high-performance data engineering systems (batch and streaming).
• Proficiency with scripting and system programming languages such as Python and Scala.
• Experience with microservices, including defining and testing APIs.
• Ability to architect, develop, and deploy both offline and online feature stores.
• Experience leading data integration efforts across various data sources.
• Ability to partner with internal departments such as Supply Chain, Marketing, Finance, and HR to establish requirements.
• Ability to mentor junior team members through modern cloud-based development practices.
• Proven ability to translate requirements into technical specifications and produce source-to-target data mappings.
• Experience introducing complex technical concepts into an organization and mentoring others.
• Background in advanced analytics and machine learning.
Preferred Qualifications
• Experience working with AWS, SQL, Python, Docker/Kubernetes, CI/CD, Git, Snowflake, dbt, and Airflow.
Compensation and Benefits
• Anticipated base pay compensation range: $110,500.00 to $184,100.00.
• Medical, dental, vision, and life insurance coverage starting on day one of employment.
• Six free sessions annually with a licensed therapist.
• 18 paid time off (PTO) days annually for full-time employees and 6 company holidays per year.
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, with no employee contribution required.
• Employee discounts, tuition reimbursement, student loan refinancing, and free financial counseling and education resources.
• Maternity support programs, nursing benefits, and up to 14 weeks of paid leave for birth parents and up to 4 weeks for non-birth parents.
About Grainger
Grainger is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status, or any other protected characteristic under federal, state, or local law. The company fosters an inclusive, accessible work environment and provides reasonable accommodations to individuals with disabilities throughout the application, hiring, and employment process.
