{"id":4330815,"url":"https://alion.io/job/rosens-diversified-senior-cloud-data-engineer-2","title":"Senior Cloud Data Engineer","company":{"id":4490785,"name":"Rosen's Diversified","domain":"rosensdiversifiedinc.com","url":"https://alion.io/company/rosen-s-diversified","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","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":"structured","locations":["Green Bay, United States"],"countries":["US"],"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":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-15T06:03:55Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T06:03:55Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Overview\nJOB SUMMARY\nThe Senior Cloud Data Engineer designs, develops, and optimizes scalable data solutions that support manufacturing operations, business intelligence, advanced analytics, and digital transformation. This role builds and maintains cloud-based data pipelines using Azure Databricks and related Azure services to integrate enterprise operational and business data. The ideal candidate combines hands-on cloud data engineering experience with collaboration across business stakeholders, analysts, architects, and data engineers to deliver reliable, secure, and high-performing data products that enable data-driven decisions across the organization.\nEssential Functions and Responsibilities\nDesign, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, PySpark, Python, and SQL.\nBuild and optimize ingestion frameworks for ERP, MES, Industrial IoT, quality, supply chain, inventory, finance, and related operational systems.\nDevelop reusable engineering patterns and standards that improve delivery speed, supportability, and reliability.\nImplement and support lakehouse solutions using Delta Lake and Medallion Architecture across Bronze, Silver, and Gold layers.\nDesign and optimize data models for reporting, analytics, AI, and machine learning use cases.\nMaintain data lineage, metadata, technical documentation, and operational runbooks.\nIntegrate Azure Databricks with Azure Data Factory, Azure Data Lake Storage Gen2, Azure Key Vault, Microsoft Fabric, Power BI, and Azure DevOps.\nSupport orchestration and movement of data between enterprise applications and cloud platforms.\nMonitor and optimize Databricks clusters, jobs, notebooks, and workflows for performance, scalability, and cost efficiency.\nTroubleshoot production issues, identify root causes, and implement sustainable corrective actions.\nContribute to monitoring, alerting, testing, and operational support practices.\nApply organizational standards for data quality, governance, privacy, security, and compliance.\nImplement role-based access controls and governed data access using Unity Catalog and Azure security services.\nBuild automated validation, auditing, and data quality controls into engineering workflows.\nPartner with business users, analysts, architects, and IT teams to translate requirements into maintainable technical solutions.\nParticipate in Agile ceremonies, sprint planning, code reviews, and technical design reviews.\nMentor junior engineers and promote coding, testing, documentation, and deployment best practices.\nQualifications\nQUALIFICATIONS, KNOWLEDGE, SKILLS, AND EXPERIENCE\nBachelor's degree in computer science, information systems, data engineering, or a related field; an equivalent combination of education and experience may be considered.\n3-5 years of experience in data engineering, cloud engineering, or analytics platform development.\nMinimum 2 years of hands-on experience developing solutions with Azure Databricks.\nExperience supporting enterprise data solutions in a manufacturing or industrial environment.\nStrong knowledge of Azure Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, lakehouse architecture, data modeling, and data warehousing concepts.\nExperience with Azure Data Lake Storage Gen2, Azure Data Factory, Azure DevOps, Git source control, and CI/CD practices for data platforms.\nExperience with data quality, security, monitoring, troubleshooting, and performance tuning.\nKnowledge of manufacturing data domains such as ERP, MES, production planning, inventory, supply chain, quality management, maintenance, or Industrial IoT.\nAbility to work with operational stakeholders and translate manufacturing processes into reliable data requirements and solutions.\nADDITIONAL SKILLS/EXPERIENCE/REQUIREMENTS\nExperience with Microsoft Fabric, Power BI, or real-time and streaming data workloads.\nHands-on experience with Unity Catalog and governed lakehouse implementations.\nExposure to machine learning or AI data preparation and deployment patterns.\nExperience with Infrastructure as Code using Terraform, Bicep, or ARM templates.\nPreferred knowledge of Infor M3, including its application design, business data model, and core table structures used across manufacturing, supply chain, inventory, finance, and related functional areas.\nPreferred understanding of production, planning, inventory, quality, maintenance, and supply chain processes.\nMicrosoft Certified: Azure Data Engineer Associate.\nDatabricks Certified Data Engineer Associate or Professional.\nMicrosoft Certified: Fabric Analytics Engineer Associate.\nINTENT AND FUNCTION OF JOB DESCRIPTIONS\nJob descriptions assist organizations in ensuring that the hiring process is fairly administered and that qualified employees are selected. All descriptions have been reviewed to ensure that only essential functions and basic duties have been included. Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions. In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all-inclusive. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law.\nSummary\nOUR FAMILY CULTURE\nWe are a family-owned business established in 1946 with nearly 5,000 employees. Over the years, Rosen’s Diversified, Inc. (“RDI”) has grown into a holding company of vertically integrated business units, including American Foods Group, America’s Service Line, Scientific Life Solutions, and Rosen’s Inc. By understanding our employees, our customers and ourselves, we are preparing RDI for the future generations of success.\nOur Company is comprised of innovative entrepreneurs who value our casual and down to earth culture. As a member of the Rosen’s family, you will find yourself challenged and rewarded for your professional contributions as well as the Company’s success.\nWHAT WE OFFER\nPrivately held, family-owned (three generations) business which operates with a mentality of what should be done versus share holder requirements.\nExcellent health and welfare benefits including but not limited to medical, dental, vision, disability, and a variety of voluntary benefit options.\n401(k) benefits with annual company match for eligible employees.\nProfessional and personal development programs including Career and Learning Paths providing opportunities for advancement.","description_format":"text","description_chars":6643,"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":["Process Manufacturing"],"lifecycle":[{"event":"open","at":"2026-11-15T06:03:55Z"}],"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":33,"reasons":["conf:1","win:early"],"computed_at":"2026-11-15T07:52:55Z"},"pay":null,"html_url":"https://alion.io/job/rosens-diversified-senior-cloud-data-engineer-2","json_url":"https://alion.io/job/rosens-diversified-senior-cloud-data-engineer-2.json","meta":{"generated_at":"2026-11-15T09:43:40Z","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":555,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":4490785},"rest":"https://alion.io/mcp/rest/get_company?id=4490785"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frosens-diversified-senior-cloud-data-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Frosens-diversified-senior-cloud-data-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Frosens-diversified-senior-cloud-data-engineer-2"},{"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/rosens-diversified-senior-cloud-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frosens-diversified-senior-cloud-data-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4330815}},{"tool":"search_jobs","arguments":{"company":"rosensdiversifiedinc.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4330815},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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