{"schemaVersion":"jobsearcher.job.v1","id":"46803e172464c7b02360f651","url":"https://jobsearcher.com/jobs/46803e172464c7b02360f651","canonicalUrl":"https://jobsearcher.com/jobs/46803e172464c7b02360f651","title":"Software Engineer – Data Architect","description":"#LI-DNI\nSoftware Engineer – Data Architect\nColumbia, SC\nInteger Technologies is currently hiring a Software Engineer reporting to the Industry 4.0 Engineering Manager within the Digital Engineering Division. This Software Engineer will serve as a Subject Matter Expert (SME) on large, multi-year research programs with an emphasis on developing digital data architectures such as digital threads for advanced manufacturing systems.\nInteger's projects use digital engineering tools to support decision-making and optimization of large and complex manufacturing systems. The Industry 4.0 team is focused on building digital twins and digital threads for advanced manufacturing applications. The digital thread is the authoritative source for models, simulations, historical data, and software tools throughout the product lifecycle.\nThis role will oversee the research, development, and implementation of novel approaches to structuring the data and building a digital thread paradigm, making the information contained within available when and where it's needed for optimization, control, and decision making.\nInteger is a science and technology research and development organization. As such, much of our work entails developing solutions for complex problems that presently have no known solutions. To achieve internal and customer project goals, all candidates must be able to perform research, understand new concepts from other engineering disciplines on advanced and complex topics, and document findings in a way that is easy for non-experts to understand.\nJoin us in shaping the future of manufacturing through cutting-edge technology and innovative research.\nPrimary Responsibilities:\nDesign and Develop Data Architectures: Lead the development of data architectures and methods to integrate data into manufacturing applications, ensuring data integrity, accessibility, and scalability.\nBuild and Maintain Scalable Data Pipelines: Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources, including APIs, external data providers, and data streams from test equipment, sensors, and industrial control devices.\nDevelop Methods for Data Ingestion: Develop methods for ingesting data from multiple sources, including product design information, code and software architecture, transactional data, and streaming data, enabling the creation of a unified view of data.\nDevelop Applications for Data Availability and Validation: Develop applications to support data availability, validation, and transformation, ensuring that data is accurate, complete, and accessible to stakeholders.\nLead Development of Cohesive Data Models: Lead the development of cohesive data models to connect and contextualize information from models, simulations, users, and manufacturing process data, enabling better decision-making and insights.\nContribute to Manufacturing Design and Development: Contribute to the design of a holistic manufacturing design, development, and operations environment, serving as the subject matter expert for data architectures and analytics.\nSupport Research Projects: Support active and future research projects by leading the development of data architectures and methods, ensuring that data engineering solutions are aligned with business objectives.\nCollaborate with Cross-Functional Teams: Collaborate with cross-functional teams, including data scientists, engineers, and manufacturing specialists, to provide technical expertise and support, ensuring that data engineering solutions meet business needs.\nDevelop Automated Workflows: Develop automated workflows to streamline data operations and reduce manual intervention, improving efficiency and reducing errors.\nMaintain Database Infrastructure: Develop and manage the database infrastructure required to implement digital threads, ensuring that data is properly stored, managed, and secured.\nMaintain Clear Documentation: Maintain clear documentation for data systems, pipelines, and processes, ensuring that knowledge is shared across teams and that issues can be quickly resolved.\nRequired Qualifications:\nMust be a U.S. Citizen with the ability to obtain and maintain a U.S. DoD Secret Clearance.\nBachelor's degree in Computer Science, Software/Computer/Electrical Engineering, or a related field.\n3+ years of experience in software development, data architecture, or related field.\nProficiency in SQL, NoSQL and graph databases and their query languages (e.g. Neo4j, MongoDB, ArangoDB, GraphQL, Cypher).\nProficiency in programming languages like Python, Java, or Scala.\nExperience working with tools and methods to structure and transform data into useful information - knowledge graphs, ontologies, semantic-web, etc.\nExperience with design and maintenance of data models.\nExperience building systems utilizing simultaneous data streams from real-world equipment and simulations such as Digital Twins.\nExcellent problem-solving skills and attention to detail.\nExcellent communication and teamwork skills to collaborate effectively across departments.\nExperience in conducting research and applying findings to practical applications.\nDesired Qualifications:\nMaster's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field.\nExperience with machine learning, physics-informed deep learning, and deep learning frameworks such as TensorFlow or PyTorch.\nFamiliarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud).\nExperience with model-based design of data models, architectures, or ontologies.\nExperience with enterprise and manufacturing data systems, including PLM, ERP, and QMS systems.\nExperience working in an advanced manufacturing environment or developing tools and applications for manufacturing processes,\nExperience developing software products in a defense environment.\nFamiliarity with machine control systems including sensing, communication, and system level controls for electric plants, machinery, and electromechanical systems (PLCs, SCADA, and OT systems).\nExperience with version control systems (e.g., Git, PLM, etc.).\nProven track record of research contributions in relevant fields.\nAn understanding of the DoD's mission, capability gaps, and the ability to pursue new advanced manufacturing research projects to address these needs.\nIf you meet the qualifications listed above and align with Integer's Core Values, we encourage you to apply. Join our dynamic research and development team and contribute to the future of manufacturing excellence.","company":"Integer Technologies","rawCompany":"integer technologies","city":"Columbia","state":"SC","isRemote":false,"isActive":false,"createdAt":"2026-06-29T03:54:57.775Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer – Data Architect","description":"#LI-DNI\nSoftware Engineer – Data Architect\nColumbia, SC\nInteger Technologies is currently hiring a Software Engineer reporting to the Industry 4.0 Engineering Manager within the Digital Engineering Division. This Software Engineer will serve as a Subject Matter Expert (SME) on large, multi-year research programs with an emphasis on developing digital data architectures such as digital threads for advanced manufacturing systems.\nInteger's projects use digital engineering tools to support decision-making and optimization of large and complex manufacturing systems. The Industry 4.0 team is focused on building digital twins and digital threads for advanced manufacturing applications. The digital thread is the authoritative source for models, simulations, historical data, and software tools throughout the product lifecycle.\nThis role will oversee the research, development, and implementation of novel approaches to structuring the data and building a digital thread paradigm, making the information contained within available when and where it's needed for optimization, control, and decision making.\nInteger is a science and technology research and development organization. As such, much of our work entails developing solutions for complex problems that presently have no known solutions. To achieve internal and customer project goals, all candidates must be able to perform research, understand new concepts from other engineering disciplines on advanced and complex topics, and document findings in a way that is easy for non-experts to understand.\nJoin us in shaping the future of manufacturing through cutting-edge technology and innovative research.\nPrimary Responsibilities:\nDesign and Develop Data Architectures: Lead the development of data architectures and methods to integrate data into manufacturing applications, ensuring data integrity, accessibility, and scalability.\nBuild and Maintain Scalable Data Pipelines: Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources, including APIs, external data providers, and data streams from test equipment, sensors, and industrial control devices.\nDevelop Methods for Data Ingestion: Develop methods for ingesting data from multiple sources, including product design information, code and software architecture, transactional data, and streaming data, enabling the creation of a unified view of data.\nDevelop Applications for Data Availability and Validation: Develop applications to support data availability, validation, and transformation, ensuring that data is accurate, complete, and accessible to stakeholders.\nLead Development of Cohesive Data Models: Lead the development of cohesive data models to connect and contextualize information from models, simulations, users, and manufacturing process data, enabling better decision-making and insights.\nContribute to Manufacturing Design and Development: Contribute to the design of a holistic manufacturing design, development, and operations environment, serving as the subject matter expert for data architectures and analytics.\nSupport Research Projects: Support active and future research projects by leading the development of data architectures and methods, ensuring that data engineering solutions are aligned with business objectives.\nCollaborate with Cross-Functional Teams: Collaborate with cross-functional teams, including data scientists, engineers, and manufacturing specialists, to provide technical expertise and support, ensuring that data engineering solutions meet business needs.\nDevelop Automated Workflows: Develop automated workflows to streamline data operations and reduce manual intervention, improving efficiency and reducing errors.\nMaintain Database Infrastructure: Develop and manage the database infrastructure required to implement digital threads, ensuring that data is properly stored, managed, and secured.\nMaintain Clear Documentation: Maintain clear documentation for data systems, pipelines, and processes, ensuring that knowledge is shared across teams and that issues can be quickly resolved.\nRequired Qualifications:\nMust be a U.S. Citizen with the ability to obtain and maintain a U.S. DoD Secret Clearance.\nBachelor's degree in Computer Science, Software/Computer/Electrical Engineering, or a related field.\n3+ years of experience in software development, data architecture, or related field.\nProficiency in SQL, NoSQL and graph databases and their query languages (e.g. Neo4j, MongoDB, ArangoDB, GraphQL, Cypher).\nProficiency in programming languages like Python, Java, or Scala.\nExperience working with tools and methods to structure and transform data into useful information - knowledge graphs, ontologies, semantic-web, etc.\nExperience with design and maintenance of data models.\nExperience building systems utilizing simultaneous data streams from real-world equipment and simulations such as Digital Twins.\nExcellent problem-solving skills and attention to detail.\nExcellent communication and teamwork skills to collaborate effectively across departments.\nExperience in conducting research and applying findings to practical applications.\nDesired Qualifications:\nMaster's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field.\nExperience with machine learning, physics-informed deep learning, and deep learning frameworks such as TensorFlow or PyTorch.\nFamiliarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud).\nExperience with model-based design of data models, architectures, or ontologies.\nExperience with enterprise and manufacturing data systems, including PLM, ERP, and QMS systems.\nExperience working in an advanced manufacturing environment or developing tools and applications for manufacturing processes,\nExperience developing software products in a defense environment.\nFamiliarity with machine control systems including sensing, communication, and system level controls for electric plants, machinery, and electromechanical systems (PLCs, SCADA, and OT systems).\nExperience with version control systems (e.g., Git, PLM, etc.).\nProven track record of research contributions in relevant fields.\nAn understanding of the DoD's mission, capability gaps, and the ability to pursue new advanced manufacturing research projects to address these needs.\nIf you meet the qualifications listed above and align with Integer's Core Values, we encourage you to apply. Join our dynamic research and development team and contribute to the future of manufacturing excellence.","datePosted":"2026-06-29T03:54:57.775Z","dateModified":"2026-06-29T03:54:57.775Z","hiringOrganization":{"@type":"Organization","name":"Integer Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbia","addressRegion":"SC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"46803e172464c7b02360f651"},"url":"https://jobsearcher.com/jobs/46803e172464c7b02360f651"}}