{"id":2692803,"url":"https://alion.io/job/grainger-senior-data-engineer","title":"Senior Data Engineer","company":{"id":1767730,"name":"Grainger","domain":"grainger.com","url":"https://alion.io/company/grainger","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Lake Forest, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":104500,"max":174200,"currency":"USD","period":"year","gross":null,"usd_annual":174200},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-16T09:29:35Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T19:47:39Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Work Location Type:Hybrid\nReq Number 335539\nAbout Grainger\nW.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, visitwww.grainger.com.\nCompensation\nThe 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.\nSponsorship\nThis 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.\nRewards and Benefits\nWith benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:\nMedical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.\n18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.\n6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.\nEmployee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.\nMaternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.\nFor additional information and details regarding Grainger’s benefits, please click on the link below:\nhttps://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire\nGrainger Benefits\nThe 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.\nThe anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.\nGrainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.\nPosition Details\nGrainger'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.\nIn 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.\nYou will be responsible for designing, developing, and maintaining scalable data solutions thatIntegrate and transform data for business and analytical use. You will apply data engineering practices todeliver reliable, high-quality data products and improve the performance, scalability, and automation of dataprocesses. The Senior Data Engineer partners with technical and business stakeholders to translate requirementsinto effective data solutions.\nSponsorship\nThis 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.\nYouwill\nDesign, develop, test, and maintain scalable data pipelines and data products that integrate information from\n\nmultiple sources.\nBuild solutions to extract, transform, integrate, and deliver reliable data for analytical and business needs.\n\nDevelop and enhance data engineering capabilities that improve data accessibility, performance, quality, andscalability.\n\nAnalyze requirements and translate business and technical needs into data designs, specifications, andsolutions.\n\nIdentify and implement improvements to data engineering processes, including automation, optimization,and increased reliability.\n\nPartner with technical and business stakeholders to resolve data-related challenges and deliver solutions thatmeet business requirements.\n\nProvide technical guidance, review designs, and help establish engineering practices for less-experienced team members.\n\nDesign and deliver scalable batch and streaming data pipelines and data products across modern data and cloud platforms.\n\nDefine reusable Data Engineering patterns for CDC, event-driven processing, workflow orchestration, data products, and AI/search-enabled workloads.\n\nPartner with Engineering, Product, and Applied Science to shape architecture, roadmap, adoption, and operational ownership of data capabilities.\n\nYou have\nBachelor'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\n\n3+ years' experience in related data engineering or software engineering experience\n\nExperience building and operating production batch and streaming data pipelines on Databricks or similar modern data platforms.\n\nStrong software engineering skills in Python with hands-on experience using Spark or other distributed processing frameworks.\n\nHands-on experience with CDC, streaming/event-driven architectures, and workflow orchestration, with the ability to select appropriate patterns based on scale, reliability, and use case.\n\nExperience with containerization and orchestration technologies such as Docker and Kubernetes, along with cloud platforms such as AWS or equivalent.\n\nExperience implementing CI/CD and automated testing using platforms such as GitHub Actions or equivalent.\n\nExperience working across relational, NoSQL, vector, graph, or other database technologies and selecting appropriate storage patterns based on the use case.\n\nExperience designing and developing scalable data pipelines, data integration solutions, and data products.\n\nProficiency with programming, scripting, and data query languages used to develop and manipulate data solutions.\n\nExperience translating requirements into technical designs and implementing solutions involving multiple data sources.\n\nKnowledge of modern data engineering.\n\nPreferred\nExperience with CDC and orchestration platforms such as AWS DMS, Debezium, Tableflow, Airflow, Databricks Workflows, or equivalent technologies.\n\nExperience using machine learning or AI within data pipelines to classify, enrich, standardize, match, or improve data.\n\nExperience with e-commerce, search, recommendations, or personalization platforms.\n\nWorking knowledge of machine learning models and production of ML workflows.\n\nWe are 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. We are proud to be an equal opportunity workplace.\nWe are committed to fostering an inclusive, accessible work 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, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.","description_format":"text","description_chars":8520,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Mechanical Components & Fasteners","Wholesale","Maintenance, Repair & Operations (MRO)"],"lifecycle":[{"event":"open","at":"2026-10-16T09:29:35Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":20,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-16T23:01:29Z"},"pay":{"stated_usd_annual":174200,"is_top_pay":true},"html_url":"https://alion.io/job/grainger-senior-data-engineer","json_url":"https://alion.io/job/grainger-senior-data-engineer.json","meta":{"generated_at":"2026-10-16T23:01:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4733,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1767730},"rest":"https://alion.io/mcp/rest/get_company?id=1767730"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgrainger-senior-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgrainger-senior-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgrainger-senior-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/grainger-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgrainger-senior-data-engineer"}]}