{"id":1209501,"url":"https://alion.io/job/mccormick-lead-data-engineer-ii-it","title":"Lead Data Engineer II, IT","company":{"id":1761649,"name":"McCormick","domain":"mccormick.com","url":"https://alion.io/company/mccormick-com","size_band":"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":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Great Expectations","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-29T07:00:00Z","employer_posted_date":"2026-08-29","last_verified_at":"2026-09-26T07:10:28Z","board_verified":false,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"description":"You may know McCormick as a leader in herbs, spices, seasonings, and condiments - and we’re only getting started. At McCormick, we’re always looking for new people to bring their unique flavor to our team.\nMcCormick employees - all 14,000 of us across the world - are what makes this company a great place to work.\nWhat We Bring To The Table:\nThe best people deserve the best rewards. In addition to the benefits you’d expect from a global leader (401k, health insurance, paid time off, etc.) we also offer:\nCompetitive compensation\nCareer growth opportunities\nFlexibility and Support for Diverse Life Stages and Choices\nAs a Lead Data Engineer at McCormick, you will play a pivotal role in the build and delivery of data products from simple to complex and supporting McCormick business units with their data and analytics needs.\nYour responsibilities will include delivering and supporting data for existing analytics solutions, tooling, and solutions, researching new features and implementing automations. You will support business users, Data Scientists and Data Analysts to convert business expectations into data products and data models usable by business to deliver AI, analysis, reporting, and data-driven recommendations to stakeholders and executives.\nThis role will be accountable for building and maintaining scalable data pipelines from source systems. The Data Engineer will ensure the availability, reliability, and performance of data products by integrating raw data from various sources. Key responsibilities include data modeling, ETL (Extract, Transform, Load) development, and ensuring data quality and security. This role will be accountable for data coming in from 5-10+ source systems.\nDesign and Execute\n\nPartner with data product managers to gather and deliver data pipelines.\nDesign ETL solutions including data quality, data security, and data pipeline resiliency.\nExecute ETL solutions including data security, data quality and performance requirements.\nData Extraction, Load and Transformation\n\nDesign, build and implement ELT pipelines to efficiently ingest and transform data from a wide variety of data sources and deliver datasets that meet business requirements.\nOptimize performance for large datasets and data workflows for performance, scalability, and reliability to support business needs.\nDevelop and maintain scalable data pipelines leveraging Azure Synapse, PySpark, APIs, and SQL & performing advanced data cleaning, transformation, and manipulation to ensure high-quality, and reliable data flows.\nImplement CI/CD processes to streamline and automate data pipelines deployment\nApply data validation frameworks (Great Expectations, Fabric-native tools) to maintain accuracy\nUtilize partitioning, indexing, clustering strategies to enhance query performance\nProcess Improvement, Performance and Cost optimization tuning\n\nCollaborate with Data Science, AI, and Data product teams to optimize performance and cost effectiveness of their solutions.\nIdentify and support the design of internal process improvements, including automating manual processes, optimizing data product delivery, and redesigning solutions for enhanced scalability.\nImplement solution adjustments to improve performance and cost-effectiveness of data products.\nIssue Resolution and Support\n\nMonitor and troubleshoot the data pipelines proactively, which includes leading the support of data-related product pipeline issues to resolve data errors.\nProvide expert-level support and guidance to data teams across the Enterprise.\nDesired Candidate Profile:\nBachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field\nMicrosoft Certified: Azure Data Engineer (DP203)or Microsoft Certified: Fabric Data Engineer Associate or related cloud technologies, Fabric IQ/Databricks certifications a plus \n\n 8+ years of data engineering experience.\nDemonstrated ability coding in one or more languages (PySpark preferred).\nExperience with building data pipelines.\nExperience with knowledge graphs a plus.\nDemonstrated ability to manage multiple priorities simultaneously.\nDemonstrated ownership of production-grade pipelines.\nAs a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future.\nMcCormick & Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.","description_format":"text","description_chars":4603,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["401k plan","Growth opportunities","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services"],"lifecycle":[{"event":"open","at":"2026-09-25T03:01:02Z"}],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.726,"p_room":0.45,"age_days":29,"expected_fill_days":19,"reasons":["conf:46","velocity","win:tail","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mccormick-lead-data-engineer-ii-it","json_url":"https://alion.io/job/mccormick-lead-data-engineer-ii-it.json","meta":{"generated_at":"2026-09-29T00:48:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":765,"day_limit":5000,"remaining_today":4235,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}