{"id":1209491,"url":"https://alion.io/job/mccormick-data-engineer","title":"Data Engineer","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":"middle","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":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"DLP","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-02T07:00:00Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-09-26T07:10:28Z","board_verified":false,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.\nFounded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.\nWhile our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas, including North, South and Central America\nPosition Overview\nAs a 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 1-3 source systems.\nKey Responsibilities\n1. Execute\nCollaborate with data product managers to gather data requirement\n\nExecute ETL solutions including data security, data quality and performance requirements.\n\nPrepare documentation of data product lineage and all other related ETL topics.\n\n2. Data Extraction, Load and Transformation\nImplement and maintain ELT pipelines to efficiently ingest and transform data from a wide variety of data sources and deliver datasets that meet business requirements. \nEnsure efficient and reliable data mapping to support business needs.\nDeliver complete documentation and knowledge transfer sessions for the Team and business partners.\nMaintain existing solutions, implement optimizations and enhancements, monitor data quality.\nSupport the development and maintenance of 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. \n3. Process Improvement, Performance and Cost optimization tuning\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.\n4. Issue Resolution and Support\nAssist stakeholders with data-related product pipeline issues and support their data product needs. \nWork with the Analytics Operational Support team to investigate, troubleshoot, and resolve data errors / discrepancies. \nRequired Qualifications:\nLevel of Education and Discipline\nBachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field \nCertifications and/or Licenses\nMicrosoft Certified: Azure Data Engineer Associate (DP-900) or Microsoft Certified: Fabric Data Engineer Associate or related cloud technologies, Fabric IQ/databricks certifications a plus \nExperience\n3-5 years of data engineering experience.\nDemonstrated ability coding in one or more languages (PySpark preferred).\nExperience with building data pipelines.\nDemonstrated ability to manage multiple priorities simultaneously.\nBasic SQL performance tuning.\nStructured + semi-structured data handling.\nUnit testing for pipelines.\nGit-based workflow.\nExposure to medallion architecture.\nUnderstanding of data privacy basics. \nInterpersonal Skills\nEffective communication skills and ability to communicate effectively on technical and business issues both internally and externally.\nAbility to work independently, navigate problems, resolve conflicts, and bring solutions to the table.\nBuild strong interpersonal relationships \nTime management and prioritization skills\nStrong technical curiosity and passion for problem solving and innovation \nOngoing aspiration to learn about new industry tools\nOther Skills & Competencies\nKnowledge of data analysis, visualization techniques, and frameworks.\nExperience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.\nExperience with the following tooling:\nSQL, Fabric, Databricks, Synapse, Azure Data Factory, Azure ML, Azure DevOps (for CI/CD), OR (Secondary)\nGCP BigQuery, FiveTran, GCP Cloud Composer, GCP DLP (Data Loss Prevention), GCP Cloud Run, Vertex AI etc \nAt McCormick, we have over a 100-year legacy based on our “Power of People” principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical value","description_format":"text","description_chars":5877,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services"],"lifecycle":[{"event":"open","at":"2026-09-25T03:01:02Z"}],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.735,"p_room":0.55,"age_days":25,"expected_fill_days":18,"reasons":["conf:46","velocity","win:tail","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mccormick-data-engineer","json_url":"https://alion.io/job/mccormick-data-engineer.json","meta":{"generated_at":"2026-09-29T01:08:54Z","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":853,"day_limit":5000,"remaining_today":4147,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}