{"schemaVersion":"jobsearcher.job.v1","id":"1f6dafb88c9b2a77df8b2c6e","url":"https://jobsearcher.com/jobs/1f6dafb88c9b2a77df8b2c6e","canonicalUrl":"https://jobsearcher.com/jobs/1f6dafb88c9b2a77df8b2c6e","title":"Data Engineer (Python, Java) - Onsite - Columbia SC","description":"Authorized to work in the US\nNo H1B\nGovernment Experience: Preferred\nOverall Exp 11+ yrs\nThe South Carolina Department of Health & Human Services (SCDHHS) is the State Medicaid Agency for South Carolina. This agency is focused on the modernization of the States Medicaid Management Information System (MMIS). The modernization is a major undertaking for SCDHHS and requires major transformation of culture, processes and technology. The modernization program supports the Departments transition from primarily a fee-for-service payor of claims towards a program and policy driver for health outcomes primarily through managed care programs. The programs strategy supports significant innovation in MMIS thinking and mindset and is aligned with MMIS innovation at the national level as well.\nScope of the project:\nThe Data Operations Hub (DOH) serves as the centralized platform and team responsible for ingesting, validating, transforming, securing, and provisioning all enterprise data to support analytics, reporting, operational efficiency, and regulatory compliance.\nObjectives to Be Fulfilled by Candidate:\nAs a Software Developer (Java) Consultant at South Carolina Department of Health and Human Services (SCDHHS), you will be a key member of the Data Operations Hub Team. Your role involves designing, developing, and implementing analytical data solutions that align with the Agency's strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations and data integration, collaborating with cross-functional teams to achieve target state architecture goals.\nJob Responsibilities\nRepresent the Data Operations Hub team in various forums, advising on Data Solutions.\nLead the design and maintenance of scalable data solutions, including data lakes and warehouses.\nCollaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making.\nEvaluate and select data technologies, driving the adoption of emerging technologies.\nDevelop architectural models using sparkx, or other data modeling tool available and other artifacts to support data initiatives.\nServe as a subject matter expert in specific areas.\nExperience with modern data processing technologies such as Python, Java, Airflow, etc. using data mesh & data lake.\nContribute to the data engineering community and advocate for agency data practices.\nEngage in hands-on coding and design to implement production solutions.\nOptimize system performance by resolving inefficiencies.\n11.Design reusable data frameworks using new technologies.\nRequired Skills (rank in order of Importance):\nExperience as Data Engineer or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.\nHands-on experience in system design, application development, and operational stability.\nExpertise in architecture disciplines and programming languages.\nDeep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering.\nPractical experience with AWS/Azure services, and data engineering disciplines.\nAdvanced experience in one or more data engineering disciplines, e.g, ETL/ELT, event processing.\nProficiency in SQL, data warehousing solutions and cloud native relational databases, e.g. Snowflake, Athena, Postgres\nStrong problem-solving, communication, and interpersonal skills.\nAbility to evaluate and recommend technologies for future state architecture.\nPreferred Skills (rank in order of Importance):\nBusiness architecture knowledge and experience with architecture assessment frameworks.\nRequired Education:\nBachelor's or Master's degree in Computer Science or related field.\nRequired Certifications:\nNA","company":"Nexonit","rawCompany":"nexonit","city":"Columbia","state":"SC","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:23:46.876Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Data Engineer (Python, Java) - Onsite - Columbia SC","description":"Authorized to work in the US\nNo H1B\nGovernment Experience: Preferred\nOverall Exp 11+ yrs\nThe South Carolina Department of Health & Human Services (SCDHHS) is the State Medicaid Agency for South Carolina. This agency is focused on the modernization of the States Medicaid Management Information System (MMIS). The modernization is a major undertaking for SCDHHS and requires major transformation of culture, processes and technology. The modernization program supports the Departments transition from primarily a fee-for-service payor of claims towards a program and policy driver for health outcomes primarily through managed care programs. The programs strategy supports significant innovation in MMIS thinking and mindset and is aligned with MMIS innovation at the national level as well.\nScope of the project:\nThe Data Operations Hub (DOH) serves as the centralized platform and team responsible for ingesting, validating, transforming, securing, and provisioning all enterprise data to support analytics, reporting, operational efficiency, and regulatory compliance.\nObjectives to Be Fulfilled by Candidate:\nAs a Software Developer (Java) Consultant at South Carolina Department of Health and Human Services (SCDHHS), you will be a key member of the Data Operations Hub Team. Your role involves designing, developing, and implementing analytical data solutions that align with the Agency's strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations and data integration, collaborating with cross-functional teams to achieve target state architecture goals.\nJob Responsibilities\nRepresent the Data Operations Hub team in various forums, advising on Data Solutions.\nLead the design and maintenance of scalable data solutions, including data lakes and warehouses.\nCollaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making.\nEvaluate and select data technologies, driving the adoption of emerging technologies.\nDevelop architectural models using sparkx, or other data modeling tool available and other artifacts to support data initiatives.\nServe as a subject matter expert in specific areas.\nExperience with modern data processing technologies such as Python, Java, Airflow, etc. using data mesh & data lake.\nContribute to the data engineering community and advocate for agency data practices.\nEngage in hands-on coding and design to implement production solutions.\nOptimize system performance by resolving inefficiencies.\n11.Design reusable data frameworks using new technologies.\nRequired Skills (rank in order of Importance):\nExperience as Data Engineer or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.\nHands-on experience in system design, application development, and operational stability.\nExpertise in architecture disciplines and programming languages.\nDeep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering.\nPractical experience with AWS/Azure services, and data engineering disciplines.\nAdvanced experience in one or more data engineering disciplines, e.g, ETL/ELT, event processing.\nProficiency in SQL, data warehousing solutions and cloud native relational databases, e.g. Snowflake, Athena, Postgres\nStrong problem-solving, communication, and interpersonal skills.\nAbility to evaluate and recommend technologies for future state architecture.\nPreferred Skills (rank in order of Importance):\nBusiness architecture knowledge and experience with architecture assessment frameworks.\nRequired Education:\nBachelor's or Master's degree in Computer Science or related field.\nRequired Certifications:\nNA","datePosted":"2026-04-14T10:23:46.876Z","dateModified":"2026-04-14T10:23:46.876Z","hiringOrganization":{"@type":"Organization","name":"Nexonit","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbia","addressRegion":"SC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1f6dafb88c9b2a77df8b2c6e"},"url":"https://jobsearcher.com/jobs/1f6dafb88c9b2a77df8b2c6e"}}