Senior Analytics Engineer

Centene Corporation is a diversified national organization that aims to improve health outcomes through technology. They are seeking a Senior Analytics Engineer to convert analytics business requirements into technical requirements, manage SDLC processes, and lead data modeling and analytics code development efforts.

Responsibilities:

• Requirements Gathering – Consistently leads meetings and/or calls with senior stakeholders and IT. May lead requirements gathering efforts on cross-functional projects. Consistently owns presentation materials. Requirements have significant insight and are consistently translated with technical and business insight into understandable constructs for individuals outside of the engineering domain. May mentor junior engineers
• Data Modeling – Leverages an expert understanding of data and analytics concepts to build tables and views autonomously. Through understanding of all key data sources and related limitations. Model sophistication ranges from few to innumerable related objects. Enhanced understanding of cloud analytics components (e.g. Databricks, Data Mesh, Delta lake, Data Lakehouse) required
• Analytics Code Development – Create code management and control. May recommend modifications to departmental SDLC processes to optimize working mechanisms. Creates test plans and validation controls; may create departmental templates. Implements gold layer (medallion architecture) objects in support of the Centene supply chain methodology
• Source Code/Documentation Management – May define departmental source code and documentation principles. May own multiple code bases; broad exposure to products, code bases, and domains
• Defect/Bug Investigation/Remediation – Develops products developed with very low defect/bug ratio. Addresses bugs and defects of any complexity. Assumes ownership of critical defects regularly and resolve. May define standards and procedures for issue remediation
• Performs other duties as assigned
• Complies with all policies and standards

Requirements:

• A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
• 4 – 6 years of related experience
• Expert understanding of data and analytics concepts
• Ability to build tables and views autonomously
• Understanding of all key data sources and related limitations
• Enhanced understanding of cloud analytics components (e.g. Databricks, Data Mesh, Delta lake, Data Lakehouse)
• Create code management and control
• Recommend modifications to departmental SDLC processes
• Create test plans and validation controls
• Implement gold layer (medallion architecture) objects
• Define departmental source code and documentation principles
• Own multiple code bases
• Develop products with very low defect/bug ratio
• Address bugs and defects of any complexity
• Assume ownership of critical defects regularly and resolve
• Define standards and procedures for issue remediation
• ETL experience
• Python
• SQL
• Power BI