• Hybrid: 3 days onsite, 2 days WFH.
• Training for the first month is fully Onsite.
• Candidates must be current South Carolina residents.
• W2 position; 12 months, with possibility of extension

• The Agency is focused on the modernization of the state s Medicaid Management Information System (MMIS). The modernization is a major undertaking for the Agency and requires major transformation of culture, processes and technology.
• The modernization program supports the Department s transition from primarily a fee-for-service payor of claims toward a program and policy driver for health outcomes primarily through managed care programs.
• The program s strategy supports significant innovation in MMIS thinking and mindset and is aligned with MMIS innovation at the national level as well.

Position description:

• As a Data Engineer, 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.
• The 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.

Responsibilities of the Data Engineer:

• Represent the Data Operations Hub team in various forums, advising on data solutions.
• Lead the design and maintenance of scalable data solutions, including data lakes and warehouses.
• Collaborate with cross-functional teams to ensure data product solutions support business needs and enable data-driven decision-making.
• Evaluate and select data technologies, driving the adoption of emerging technologies.
• Develop architectural models using Sparkx, or other data modeling tool available and other artifacts to support data initiatives.
• Serve as a subject matter expert in specific areas.
• Experience with modern data processing technologies such as Python, Java, Airflow, etc. using data mesh & data lake.
• Contribute to the data engineering community and advocate for agency data practices.
• Engage in hands-on coding and design to implement production solutions.
• Optimize system performance by resolving inefficiencies.
• Design reusable data frameworks using new technologies.

Required Skills:

• 3 years of experience as a Data Engineer or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
• 3 years of hands-on experience in system design, Python application development, and operational stability.
• 3 years of experience in architecture disciplines and Python and Java programming languages.
• 2 years of experience with data modeling, integration, cloud data services, data domain driven design
• 2 years of experience with AWS/Azure services, and data engineering disciplines.
• 3 years of experience in SQL, data warehousing solutions and cloud native relational databases, e.g. Snowflake, Athena, Postgres

Preferred Skills:

• AWS or Azure Certification (CCP) or Developer
• Medicaid background