Note: The job is a remote job and is open to candidates in USA. Centene Corporation is a diversified, national organization focused on improving health outcomes through technology. The Senior Analytics Engineer will design and build scalable data pipelines and analytics frameworks to support advanced analytics and strategic decision-making, while collaborating with various stakeholders to drive measurable business impact.

Responsibilities

• 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

Skills

• A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
• Requires 4 – 6 years of related experience
• 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 models​Familiarity with medallion architecture
• Experience working with healthcare data (e.g., claims, provider, pharmacy datasets)

Benefits

• Competitive pay
• Health insurance
• 401K and stock purchase plans
• Tuition reimbursement
• Paid time off plus holidays
• A flexible approach to work with remote, hybrid, field or office work schedules
• Total compensation may also include additional forms of incentives
• Benefits may be subject to program eligibility

Company Overview

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