• Build and maintain robust, scalable data pipelines using Airflow, Python, and SQL. • Design, build, optimize data pipelines using dbt, or sqlmesh. • Develop and manage the ODS and support the eventual rollout of a modern Data Warehouse. • Integrate data from internal systems and external APIs to create clean, reliable datasets. • Work closely with engineers to operationalize machine learning workflows. • Ensure high data quality through monitoring, validation, and error handling. • Provide guidance to less experienced team members and champion data engineering best practices. • Deploy and manage infrastructure in the cloud (AWS, GCP, or Azure) using modern DevOps tooling. • Implement monitoring and alerting to ensure data pipelines are reliable and maintainable.

• Conduct a comprehensive review of the existing data ecosystem, including spreadsheets, CRM platforms, and operational systems • Define and design a “single source of truth” for employee/agent data and associated business metrics • Architect a scalable data framework, including core data models, system integrations and data flows, governance, ownership, and data quality standards • Provide recommendations on appropriate technologies (databases, data warehouses, integration tools, and SaaS vs custom solutions) • Produce clear and robust documentation, including target-state architecture diagrams, data models and definitions, integration and migration roadmap • Act as a strategic advisor to senior leadership and technical teams throughout the transformation journey

• Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA). • Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data. • Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications. • Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms. • Ensure data pipelines meet the unique requirements of health, medical, and bioinformatics data processing, including translating complex medical and biological concepts into actionable data requirements.

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world.  As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics), including data ingestion, data transformation, data validation / quality, data pipeline optimization, and orchestration. Engages with the DevSecOps Engineer during continuous integration and continuous deployment. Helps guide the design and implementation of complex data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.) Provides guidance to data engineers in the design, development, implementation, testing, documenting, and operating of large-scale, high-volume, high-performance data structures for business intelligence analytics Designs, develops, and maintains real-time processing applications and real-time data pipelines Ensure quality of technical solutions as data moves across Centene’s environments Provides senior level knowledge and insight into the changing data environment, data processing, data storage, and utilization requirements for the company and drives the team toward viable solutions Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act