
Data Engineer- Youngstown, OH (002-27)
National Center for Defense Manufacturing & Machining
Youngstown, OHFull-timeSeen todaySeen in employer's feed today
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Job overview
The Data Engineer will lead integration, structuring, and hosting of project data in America Makes’ CORE repository. The role supports data quality, searchability, and reuse across more than 200 active projects involving manufacturing data. The engineer will set strategy and prioritize actions to improve the user experience and data management processes, while collaborating with project teams and America Makes members.
Skills & qualifications
Skills
Qualifications
Full job description
Employment Type: Full-Time Minimum Experience: Experienced Description: Data Engineer About America Makes America Makes is the Nation's leading public-private partnership for Additive Manufacturing technology and education. Our members from industry, academia, government, workforce, and economic development organizations, work together to accelerate the adoption of AM and the nation's global manufacturing competitiveness, focusing on three core missions - Technology Development, Education and Workforce Development, and Ecosystem. About the role and team As a data engineer, you will be part of a diverse team that is collaborating to grow and mature adaptive and additive manufacturing supply chains. The America Makes Institute views data and data sharing as a key component to communicating the outcomes and impacts of our efforts. Data is critical to the value of the Institute in its mission to accelerate the maturation of adaptive and additive manufacturing technologies. The data engineer will lead the integration, structuring, and intuitive hosting of project data within the America Makes data repository called CORE. The Institute currently executes over 200 active projects. Many of these efforts will deliver various forms of manufacturing data including design data, processing data, materials data, inspection data, testing data, reports, and presentations. The data engineer will ensure that operational processes of integrating data and data architectures conveying the interconnectivity of data within CORE maintain the integrity of the actions of the Institute and that information is searchable and reusable. The data engineer is responsible for setting strategy and prioritizing actions which achieves a user-friendly experience for those accessing CORE and ensures CORE data quality and reuse. Responsibilities of the role include: - Understand, develop, and continuously improve data management principles and common practices for the America Makes program - Facilitate integration, structuring, and storage of project data within the America Makes data repository, CORE - Identify and address data management capability gaps, deliver methods and approaches which enhance data quality and ensure reuse, and manage a strategy for continuous process improvement for America Makes data management and persistence - Strong awareness of existing state of the art in data pedigree, data structures, essential variables (provenance and essential components of defining a manufacturing workflow), and data models for advanced manufacturing technologies - Manage the quality and reuse of America Makes data assets On a typical day, you might: - Facilitate meetings, workshops, panel discussions - Document technical details, aggregate information, analyze data, draw conclusions, identify trends, and summarize information - Support or lead the drafting of manuscripts, reports, and presentations - Present programmatic and technical information - Develop, share, and follow instructions/procedures - Lead group discussions with project teams and America Makes members - Develop plans/schedules which establish time-based programmatic and/or professional development goals - Serve as an individual contributor or provide consultation as a subject matter expert About our ideal candidate: 5-10 years of relevant experience in developing and managing manufacturing data pipelines, data management practices, and database architectures Strong time management skills -- be willing to make a plan, stick to it, and communicate changes effectively Ability to lead discussions if or when necessary -- recognize you and y
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