Senior Analytics Engineer
Senior
Analytics
Big Data
Business Analytics
Business Intelligence
Collaboration
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Integration
Data Lake
Data Lakehouse
Data Management
Data Modeling
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Visualization
Data Warehouse
Data Warehousing
Database
Databases
Databricks
DevOps
ETL
Gitlab
Power BI
Reporting and Analytics
Snowflake
Software Development
SQL
Job Description
Centene Pharmacy Services is seeking an experienced Senior Analytics Engineer to design, build, and scale modern analytics pipelines that empower data-driven decision making. This onsite role in Florida centers on delivering production-grade data assets using Snowflake, dbt, GitLab, and Power BI, while collaborating closely with clinical, operational, and business stakeholders. A core focus of the position is mentoring teammates, establishing engineering standards, and continuously improving the analytics platform.
Compensation
Salary range: USD 87,000 β 161,300 per year.
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 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.
- Lead requirements gathering sessions with senior stakeholders and IT, produce presentation materials, and translate requirements into clear technical constructs.
- Demonstrate expert data modeling skills to build tables and views, with awareness of data sources and limitations; familiarity with cloud analytics components such as Databricks, Data Mesh, Delta Lake, and Data Lakehouse.
- Develop analytics code with robust version control and testing; may propose SDLC improvements; create test plans and templates; implement gold layer (medallion architecture) for supply chain needs.
- Define departmental source code and documentation principles; oversee multiple code bases and gain broad exposure to products and domains.
- Investigate and remediate defects, maintaining a low defect rate; own critical defects and define remediation standards.
- Perform other duties as assigned and comply with all policies.
Requirements
- Bachelor's degree in a quantitative or business field (statistics, mathematics, engineering, computer science).
- 4β6 years of relevant experience in data engineering, analytics, or a related field.
Technologies
- Snowflake
- dbt
- GitLab
- Power BI
- Python
- SQL
- Databricks
- Delta lake
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 schedules
Licenses and Certifications
No specific licenses or certifications are required for this role.
Preferred Qualifications
- Snowflake Certifications (Core, Specialty such as Snowpark, or Advanced such as Data Engineer or Data Analyst)
- GitLab Certifications (Fundamentals, CI/CD Associate)
- Microsoft Certified: Power BI Data Analyst Associate