Centene Corporation logo

Senior Analytics Engineer

Job Overview

Location

Remote-FL

Job Type

Full-time

Category

Data & Analytics

Date Posted

July 10, 2026

Full Job Description

đź“‹ Description

  • • Design, build, and scale a modern analytics engineering framework that enables efficient ingestion, transformation, and delivery of data to support advanced analytics and strategic decision-making.
  • • Develop automated, production-ready data pipelines and analytics assets, while partnering with cross-functional stakeholders to drive measurable business impact and establish scalable, team-based data practices.
  • • Design, build, and maintain end-to-end data pipelines and analytics solutions using modern tools (e.g., Snowflake, dbt, GitLab, and Power BI).
  • • Automate data ingestion, develop modular transformation workflows, and deliver scalable, production-ready data models and reporting assets.
  • • Establish data engineering standards, enable team-based development, and partner with stakeholders to drive actionable insights and measurable business impact.
  • • 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.
  • • 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

  • • Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
  • • 4–6 years of relevant experience in data engineering, analytics, or a related field

🏖️ Benefits

  • • Competitive pay
  • • Health insurance
  • • 401K and stock purchase plans
  • • Tuition reimbursement
  • • Paid time off plus holidays
  • • Flexible approach to work with remote, hybrid, field or office work schedules

Skills & Technologies

Python
GitLab
Senior
Remote
Degree Required

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About Centene Corporation

Centene Corporation is a publicly traded managed-care enterprise that arranges health-benefit programs for government-sponsored and privately insured individuals. Operating across all 50 U.S. states and internationally, the company focuses on under-insured and uninsured populations through Medicaid, Medicare, and Marketplace offerings. Its services include behavioral health, pharmacy benefits, vision, dental, telehealth, and in-house clinical programs. Centene partners with physicians, hospitals, and community organizations to coordinate cost-effective care, emphasizing data analytics and value-based reimbursement models. Headquartered in St. Louis, Missouri, it serves more than 25 million members, positioning itself as a leading intermediary between payers and healthcare providers.

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