{"schemaVersion":"jobsearcher.job.v1","id":"2e38d3b02cf1a7383b312915","url":"https://jobsearcher.com/jobs/2e38d3b02cf1a7383b312915","canonicalUrl":"https://jobsearcher.com/jobs/2e38d3b02cf1a7383b312915","title":"DCS DBA Data Modeling/ Data Engineering","description":"Job Summary – Data acquisition: Find datasets that meet business needs Data processing: Develop algorithms to transform data into useful information Data infrastructure: Build and maintain data management systems, such as databases and data pipelines Data security: Implement security measures to protect sensitive data Data collaboration: Work with other teams to understand data requirements and deliver relevant datasets Data documentation: Maintain documentation of data processes, workflows, and best practices Data optimization: Optimize data infrastructure and processes for better performance and scalability Data analysis: Create analytical tools to provide insight into key business performance metrics Data visualization: Build data models and pipelines for research, reporting, and machine learning Years of experience needed – 10 + years Technical Expertise: Familiar with different types of data storage, including SQL and NoSQL databases Need to know how to use database management systems like MySQL, Oracle, PostgreSQL, and MongoDB Change Management Methodology: Proficiency in ITIL or other recognized change management frameworks, including knowledge of best practices for managing change. Communication Skills: Excellent written and verbal communication skills to effectively convey complex technical information to both technical and non-technical audiences. Analytical Skills: Ability to analyze potential impacts of changes, identify risks, and make informed decisions. Stakeholder Management: Proven ability to build relationships with key stakeholders across different departments and manage expectations effectively. Problem-solving: Strong problem-solving skills to address challenges that arise during the change implementation process. Project Management: Basic project management skills to plan, execute, and monitor change initiatives. Leadership: Ability to lead and influence cross-functional teams to achieve successful change outcomes. #J-18808-Ljbffr","company":"Alltech Consulting Svc","rawCompany":"alltech consulting svc","city":"Oregon","state":"WI","isRemote":false,"isActive":false,"createdAt":"2026-06-21T00:12:51.658Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"DCS DBA Data Modeling/ Data Engineering","description":"Job Summary – Data acquisition: Find datasets that meet business needs Data processing: Develop algorithms to transform data into useful information Data infrastructure: Build and maintain data management systems, such as databases and data pipelines Data security: Implement security measures to protect sensitive data Data collaboration: Work with other teams to understand data requirements and deliver relevant datasets Data documentation: Maintain documentation of data processes, workflows, and best practices Data optimization: Optimize data infrastructure and processes for better performance and scalability Data analysis: Create analytical tools to provide insight into key business performance metrics Data visualization: Build data models and pipelines for research, reporting, and machine learning Years of experience needed – 10 + years Technical Expertise: Familiar with different types of data storage, including SQL and NoSQL databases Need to know how to use database management systems like MySQL, Oracle, PostgreSQL, and MongoDB Change Management Methodology: Proficiency in ITIL or other recognized change management frameworks, including knowledge of best practices for managing change. 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