Senior Analytics Engineer

Centene Corporation

Senior Analytics Engineer in a healthcare organization designing and building data pipelines. Responsible for analytics engineering framework to enhance data-driven decision-making.

Posted 7/9/2026full-timeRemote • Florida • 🇺🇸 United StatesSenior💰 $87,000 - $161,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines and data models using SQL and Python, while leveraging tools like Snowflake, dbt, and Power BI to support advanced analytics in healthcare. Proven ability to mentor team members and establish best practices for data quality and performance optimization.

Highest-signal resume keywords

Data Pipeline DesignSQL ProficiencyPython DevelopmentSnowflake ExpertiseHealthcare Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingData TransformationData ValidationPerformance OptimizationAutomationCI/CD ProcessesData QualityVersion ControlReporting

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

SnowflakeDbtGitLabPower BI

Industry Keywords

Healthcare DataMedallion ArchitectureAnalytics EcosystemData IngestionData Insights

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
3+ years of experience with SQL and Python
Experience working with modern data platforms and tools (e.g., Snowflake, dbt, GitLab, Power BI)
Experience designing and maintaining scalable data pipelines and data models
Experience working with healthcare data (e.g., claims, provider, pharmacy datasets)
Familiarity with modern data architecture patterns (e.g., medallion architecture)

Benefits

Comp & perks

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