Senior Data Engineer

Work Location Type: Hybrid Req Number 335539

About Grainger W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working® by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit  www.grainger.com.

Compensation The anticipated base pay compensation range for this position is $104,500.00 – $174,200.00. This role is eligible for an incentive target of up to 10% or $, based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change.

Sponsorship This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.

Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:

For additional information and details regarding Grainger’s benefits, please click on the link below: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire

Grainger Benefits The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.

Position Details

Grainger's Product Discovery organization is investing in modern Data Engineering capabilities that support search platforms, search relevance, machine learning, analytics, and emerging AI-enabled experiences.

In this role, you will design and operate reliable, governed batch and real-time data products using technologies such as Databricks, Snowflake, Spark, Kubernetes, vector/search technologies and cloud-native services. You will build the pipelines, data assets, orchestration patterns, and search and retrieval capabilities that make trusted data available to search, machine learning, analytics, and engineering teams.

You will be responsible for designing, developing, and maintaining scalable data solutions that Integrate and transform data for business and analytical use. You will apply data engineering practices to deliver reliable, high-quality data products and improve the performance, scalability, and automation of data processes. The Senior Data Engineer partners with technical and business stakeholders to translate requirements into effective data solutions.

Sponsorship This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.

You will

• Design, develop, test, and maintain scalable data pipelines and data products that integrate information from

multiple sources.

• Build solutions to extract, transform, integrate, and deliver reliable data for analytical and business needs.

• Develop and enhance data engineering capabilities that improve data accessibility, performance, quality, and scalability.

• Analyze requirements and translate business and technical needs into data designs, specifications, and solutions.

• Identify and implement improvements to data engineering processes, including automation, optimization, and increased reliability.

• Partner with technical and business stakeholders to resolve data-related challenges and deliver solutions that meet business requirements.

• Provide technical guidance, review designs, and help establish engineering practices for less-experienced team members.

• Design and deliver scalable batch and streaming data pipelines and data products across modern data and cloud platforms.

• Define reusable Data Engineering patterns for CDC, event-driven processing, workflow orchestration, data products, and AI/search-enabled workloads.

• Partner with Engineering, Product, and Applied Science to shape architecture, roadmap, adoption, and operational ownership of data capabilities.

You have

• Bachelor's Degree or equivalent experience in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or a closely related technical field or equivalent experience

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