{"schemaVersion":"jobsearcher.job.v1","id":"b87c35934e5f03f4eccb636d","url":"https://jobsearcher.com/jobs/b87c35934e5f03f4eccb636d","canonicalUrl":"https://jobsearcher.com/jobs/b87c35934e5f03f4eccb636d","title":"Senior Staff Data Engineer","description":"As 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. With 2023 sales of $16.5 billion, we’re dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.\n\nOur welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified™ company, we’re looking for passionate people to join our team as we continue leading the industry over our next 100 years.\n\nPosition Details:\nWe are looking for a Senior Staff Data Engineer on 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.\nYou will be responsible for helping design and develop data pipelines and data products. You will work with SMEs, architects, analysts, data scientists, stake holders and others to build solutions that integrate, process and store data from many of our internal and external enterprise data sources.\nThis role will be reporting to the Manager, CIM, Product Engineering and is based out of Chicago.\n\nYou Will:\nEnable analytics and reporting by centralizing and integrating high quality, large, complex data sets in a highly performant and scalable cloud analytical platform\nWork closely with architects, stakeholders, and product teams to implement data pipelines to ingest, cleanse, and enrich data for analytics to downstream stakeholders\nDesign and implement secure, performant data models to meet the scalability and performance needs of data product\nUnderstand trends and emerging technologies and evaluate the performance and applicability of potential tools for our requirements.\nBuild data models with DBT to transform data and ensure data quality by creating DBT unit tests.\nBuild and maintain the data quality dashboards in streamlit.\nPartner with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues\nDevelop data products/systems using large and complex data sets to meet business and technical requirements\nWork with product and business to define roadmap, communication and architecture.\nPromote effective team practices, shape team culture, and engage in active mentoring.\nPair program with developers daily to ensure better quality code, shared knowledge and increased resiliency of our applications\nAdvocate for best practices on the team and prescribe coding and testing standards and tools\nWork across the CIM Domain to establish best practices and coherent ways of working between and within teams.\n\nYou Have:\n10 years of experience with Modern Data Engineering projects and practices: designing, building, and deploying scalable data pipelines\n5 + years of experience in designing building deploying cloud native solutions\nAt least 3 years of experience with AWS, Snowflake, DBT, Airflow/Astronomer, Python, Docker/Kubernetes, CI/CD, Git, familiarity with Databricks\nExperience in working closely with architects to design and develop data lake, data pipelines, and data product publication strategy. Familiarity with: Data mesh architecture\nExperience designing and implementing efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.\nEducate and mentor the junior data engineers on data engineering best practices.\nExperience partnering with internal departments to establish requirements\nProven experience collaborating across teams to develop and implement data engineering best practices.\nExposure to analytics and machine learning\nFamiliarity with BI tools such as Tableau, PowerBI\n\nRewards and Benefits:\nWith benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice and flexibility to meet our team members' individual needs. Check out some of the rewards available to you at Grainger.\nMedical, dental, vision, and life insurance plans\nGenerous paid time off (PTO) and 6 company holidays per year\nAutomatic 6% 401(k) company contribution each pay period\nEmployee discounts, parental leave, 3:1 match on donations and tuition reimbursement\nA comprehensive set of emotional, financial, physical and social wellbeing programs\n\nWe are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.\n\nWe are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.","company":"Grainger","rawCompany":"grainger","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:02:11.618Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Staff Data Engineer","description":"As 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. With 2023 sales of $16.5 billion, we’re dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.\n\nOur welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified™ company, we’re looking for passionate people to join our team as we continue leading the industry over our next 100 years.\n\nPosition Details:\nWe are looking for a Senior Staff Data Engineer on 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.\nYou will be responsible for helping design and develop data pipelines and data products. You will work with SMEs, architects, analysts, data scientists, stake holders and others to build solutions that integrate, process and store data from many of our internal and external enterprise data sources.\nThis role will be reporting to the Manager, CIM, Product Engineering and is based out of Chicago.\n\nYou Will:\nEnable analytics and reporting by centralizing and integrating high quality, large, complex data sets in a highly performant and scalable cloud analytical platform\nWork closely with architects, stakeholders, and product teams to implement data pipelines to ingest, cleanse, and enrich data for analytics to downstream stakeholders\nDesign and implement secure, performant data models to meet the scalability and performance needs of data product\nUnderstand trends and emerging technologies and evaluate the performance and applicability of potential tools for our requirements.\nBuild data models with DBT to transform data and ensure data quality by creating DBT unit tests.\nBuild and maintain the data quality dashboards in streamlit.\nPartner with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues\nDevelop data products/systems using large and complex data sets to meet business and technical requirements\nWork with product and business to define roadmap, communication and architecture.\nPromote effective team practices, shape team culture, and engage in active mentoring.\nPair program with developers daily to ensure better quality code, shared knowledge and increased resiliency of our applications\nAdvocate for best practices on the team and prescribe coding and testing standards and tools\nWork across the CIM Domain to establish best practices and coherent ways of working between and within teams.\n\nYou Have:\n10 years of experience with Modern Data Engineering projects and practices: designing, building, and deploying scalable data pipelines\n5 + years of experience in designing building deploying cloud native solutions\nAt least 3 years of experience with AWS, Snowflake, DBT, Airflow/Astronomer, Python, Docker/Kubernetes, CI/CD, Git, familiarity with Databricks\nExperience in working closely with architects to design and develop data lake, data pipelines, and data product publication strategy. Familiarity with: Data mesh architecture\nExperience designing and implementing efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.\nEducate and mentor the junior data engineers on data engineering best practices.\nExperience partnering with internal departments to establish requirements\nProven experience collaborating across teams to develop and implement data engineering best practices.\nExposure to analytics and machine learning\nFamiliarity with BI tools such as Tableau, PowerBI\n\nRewards and Benefits:\nWith benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice and flexibility to meet our team members' individual needs. Check out some of the rewards available to you at Grainger.\nMedical, dental, vision, and life insurance plans\nGenerous paid time off (PTO) and 6 company holidays per year\nAutomatic 6% 401(k) company contribution each pay period\nEmployee discounts, parental leave, 3:1 match on donations and tuition reimbursement\nA comprehensive set of emotional, financial, physical and social wellbeing programs\n\nWe are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.\n\nWe are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.","datePosted":"2026-04-12T21:02:11.618Z","dateModified":"2026-04-12T21:02:11.618Z","hiringOrganization":{"@type":"Organization","name":"Grainger","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b87c35934e5f03f4eccb636d"},"url":"https://jobsearcher.com/jobs/b87c35934e5f03f4eccb636d"}}