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Analytics Engineer III - AWS

Centene Corporation LogoCentene Corporation
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Salary

Pay Range: $87,700.00 - $157,800.00 per year

Location

Remote

Posted

Today

Convert analytics business requirements into technical requirements and implemented projects through working with IT, business, and analytics partners. May source data directly via batch and pipeline processes and manage SDLC processes.

Key details

This remote role provides a full scope opportunity for a seasoned Analytics Engineer who is confident in AWS. You will translate analytics business requirements into technical requirements and implement solutions while partnering with business, IT, and analytics stakeholders. This is a remote position within the United States. Candidates must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.

  • 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 and stakeholder communications. Requirements have significant insight and are consistently translated with technical and business knowledge into understandable concepts for individuals outside of the engineering domain. May mentor junior engineers and support alignment across business and technology teams.
  • Data modeling – Leverages an expert understanding of data and analytics concepts to independently build tables, views, and scalable semantic models. Demonstrates a thorough understanding of key data sources, relationships, and limitations. Model sophistication ranges from few to innumerable related objects. Enhanced understanding of cloud analytics components including AWS, Databricks, Data Mesh, Delta Lake, and Data Lakehouse environments required. Experience supporting Power BI reporting and analytics solutions preferred.
  • Analytics code development – Creates analytics code, code-management controls, and data engineering solutions that support reporting and business intelligence initiatives. May recommend modifications to departmental SDLC processes to optimize development practices. Creates test plans, validation controls, and reusable departmental templates to ensure data quality and reliability.
  • Source code/documentation management – May define departmental source code and documentation standards and principles. Manages source code repositories and technical documentation to support governance and maintainability. May own multiple code bases and have broad exposure to products, business domains, cloud platforms, and analytics solutions.
  • Defect/bug investigation/remediation – Develops high-quality products with a very low defect-to-delivery ratio. Investigates and resolves defects of varying complexity, including critical production issues. Regularly assumes ownership of high-priority incidents and drives resolution. May define standards, best practices, and procedures for issue remediation and continuous improvement.

Education/experience

  • Bachelor’s degree in Computer Science, Healthcare Analytics, Health Information Management, Statistics, Actuarial Science, Information Technology or equivalent experience.
  • 5 years as an Analytics Engineer or 7+ years as a Data Analyst, Software Engineer, Data Engineer, or similar role required.
  • Knowledge of SQL, SDLC, GIT, RDBMS.

License/certification

  • DBT Fundamentals preferred.

Preferred

  • Strong knowledge of SQL, software development lifecycle practices, Git, and relational database management systems.
  • Advanced knowledge of data modeling and analytics concepts.
  • Experience building and managing tables, views, and complex data relationships.
  • Working knowledge of cloud analytics technologies, including Databricks, Data Mesh, Delta Lake, and Data Lakehouse concepts.
  • Experience developing test plans, validation controls, and technical documentation.
  • Strong defect investigation, troubleshooting, and remediation capabilities.
  • The ability to lead discussions with senior stakeholders and work effectively across business, analytics, and IT teams.
  • Strong written and verbal communication skills, including the ability to explain technical concepts to nontechnical audiences.
  • The ability to work independently, manage multiple code bases, and take ownership of critical issues.
  • The ability to mentor junior engineers.

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