Centene Corporation
Senior Analytics Engineer
Rol remoto de Analytics Engineering con fit claro de ubicación del candidato.
Publicado5 jul 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Senior Analytics Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Position Purpose:
- Design, build, and own scalable data pipelines that ingest external and internal data into Snowflake, including automation of file-based ingestion processes.
- Architect, develop, and maintain dbt transformation workflows to produce curated, production-ready data models and tables.
- Establish and enforce best practices for data modeling, performance optimization, data quality, and pipeline reliability across the platform.
- Develop and maintain Python- and SQL-based processes for data ingestion, validation, transformation, and monitoring.
- Lead the implementation and management of GitLab for version control, code collaboration, and CI/CD processes across the analytics team.
- Define and operationalize team standards for source control, code reviews, deployment workflows, and documentation.
- Build, optimize, and own Power BI datasets, semantic models, and reporting layers to support scalable analytics and decision-making.
- Partner with clinical, operational, and business stakeholders to translate data needs into technical solutions and communicate insights effectively.
- Mentor and train team members on data engineering workflows, Snowflake, dbt, GitLab, and Power BI to enable shared ownership and reduce single points of failure.
- Continuously improve platform architecture, tooling, and processes to support a scalable, maintainable, and modern analytics ecosystem.
- Support expansion of Snowflake capabilities (e.g., application layers or integrations) to enable advanced analytics and operational use cases.
- Contribute to advanced analytical initiatives, including identifying cost-savings opportunities and generating insights from complex healthcare datasets.
Education/Experience:Required:
- A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
- Requires 4 – 6 years of related experience
Preferred:
- 3+ years of experience with SQL and Python
- Experience working with modern data platforms and tools specifically with Snowflake, dbt, GitLab, Power BI
- Experience designing and maintaining scalable data pipelines and data modelsFamiliarity with medallion architecture
- Experience working with healthcare data (e.g., claims, provider, pharmacy datasets)
License/Certification (nice to have):
- Snowflake Certifications (Core, Specialty [e.g., Snowpark], or Advanced [e.g., Data Engineer, Data Analyst])
- GitLab Certifications (e.g., Fundamentals, CI/CD Associate)
- Microsoft Certified: Power BI Data Analyst Associate
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