Data Engineer

The position is responsible for providing ongoing maintenance and support of the Michigan Disease Surveillance System (MDSS). MDSS is a complex application that supports communicable disease surveillance, registries, and case management systems that are critical to supporting effective responses to public health emergencies and reducing the burden of communicable diseases. MDSS is going through modernization to enhance stability and functionality of the system, with phase 1 already completed. The resource is integral to developing, maintaining, and enhancing MDHHS MDSS phase 1. Responsibilities include ensuring automated processes are functioning, streamlining critical business processes, maintaining data integrity, ensuring SEM/SUITE compliance, and securing the application. The resource also acts as a technical lead, providing guidance to other developers in the department and participating in a variety of analytical assignments that enhance, integrate, maintain, and implement projects. The absence of this resource could lead to failures in maintaining, enhancing, and supporting the modernized MDSS, resulting in errors, application outages, data integrity issues, and incorrect processing and reporting of patient information. Responsibilities:

Lead the design and development of scalable and high-performance solutions using AWS services. Experience with Databricks, Elastic Search, Kibana, S3. Experience with Extract, Transform, and Load (ETL) processes and data pipelines. Write clean, maintainable, and efficient code in Python/Scala. Experience with AWS Cloud-based Application Development. Experience in Electronic Health Records (EHR) HL7 solutions. Implement and manage Elastic Search engine for efficient data retrieval and analysis. Experience with data warehousing, data visualization tools, and data integrity. Execute full software development life cycle (SDLC), including experience in gathering requirements and writing functional/technical specifications for complex projects. Excellent knowledge in designing both logical and physical database models. Develop database objects including stored procedures and functions. Extensive knowledge of source control tools such as GIT. Develop software design documents and work with stakeholders for review and approval. Exposure to flowcharts, screen layouts, and documentation to ensure logical flow of the system requirements. Experience working on large agile projects. Experience or knowledge of creating CI/CD pipelines using Azure DevOps.

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