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. - Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.) - Designs, develops, implements, tests, documents, and operates 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 insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions - Develops, constructs, tests, and maintains architectures using programming language and tools - Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated - Performs other duties as assigned - Complies with all policies and standards Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 2 – 4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: - One or more of the following skills are desired. - - SQL Server - SSIS - Healthcare experience Pay Range: $63,600.00 - $114,600.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. 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

• Develop database solutions to securely store and retrieve Client information utilizing the Client’s Amazon Web Services, (AWS) data warehouse and data lake architecture. • Rewrite SSIS packages to a modern framework using Docker, Node, Python, dbt. • Analyze existing package to plan and develop roadmap for code conversion. • Perform data testing and data quality checks. • Analyze and recommend performance improvements to Redshift Datawarehouse. • Extend and apply security for data warehouse usage.

• Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other Azure services • Own the data engineering framework, including pipeline patterns, orchestration standards, and reusable components • Collaborate with data scientists, Software engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions • Define, document, and enforce best practices for ADF, Databricks, Spark, and data modeling • Implement and maintain data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB • Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes • Implement data quality checks, validation frameworks, and monitoring for critical data assets • Design and support governance patterns leveraging Databricks Unity Catalog and Azure-native controls • Develop and maintain documentation for data engineering processes and solutions

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk. How you’ll make an impact As a Staff Software Engineer, you will be a key technical leader responsible for the design, implementation, and maintenance of WEX's data lake platform. This role is central to our vision of creating a unified, scalable, and intelligent data infrastructure that supports both traditional analytics and next-generation AI/ML technologies. You will drive the technical development of the platform, ensuring our systems, services, and tools are built with a strong focus on security, quality, reliability, performance, and scalability. This position requires a technically deep and hands-on leader who can balance near-term execution with long-term architectural health. You will work closely with other senior engineers and teams across the organization, including Data & Analytics and Information Security, to understand business needs and guide the design, development, and productionalization of our data platform. This is a fantastic opportunity for a highly motivated and experienced engineer to make a real business impact by solving large-scale, complex problems in a fast-growing tech company. We are looking for an individual who is passionate about building robust data infrastructure and can mentor the next generation of engineers. Responsibilities - Platform Strategy & Leadership: Lead the technical vision, architecture, and strategy for the Data Lake platform. Drive the development roadmap to deliver a platform that meets both near-term business needs and long-term strategic goals. - Technical Execution & Innovation: Design and lead the implementation of our data lake platform and services. Challenge the status quo, championing innovative technical solutions that leverage data, AI, and modern engineering practices. - Cross-Functional Partnership: Partner closely with solutions architecture, product, and engineering teams to deeply understand business needs and design effective solutions. Collaborate with information security to ensure data privacy and access controls are a core part of the platform's design. - Mentorship & Team Development: Serve as a technical mentor to engineers, providing guidance on engineering principles, best practices, and skills. Foster a culture of continuous learning, innovation, and accountability for quality results. - Stakeholder Communication: Report on the status of development, quality, and system performance to management and partners. Advise senior leadership on complex technical initiatives and drive projects to achieve defined OKRs. Experience you’ll bring Experience: 10+ years of experience in software design and development, with a focus on building large-scale, distributed systems. Technical Depth: - Strong hands-on experience in software development, architecture, deployment, and production operations, preferably with Java / J2EE (Spring/Spring Boot). - Proficiency in languages like Python is highly desirable. - Deep expertise in building and operating Big Data platforms and large-scale data lakes. - Experience with Data Lakehouse formats such as Apache Iceberg, Apache Hudi, or Delta Lake is a significant plus. - Strong understanding of modern data processing tools and services (e.g., Spark, AWS Glue, dbt, Apache Polaris). Cloud & Infrastructure: - Extensive experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and Azure. - Deep understanding of CI/CD automation, modern development tools, and frameworks. Leadership & Soft Skills: - Proven ability to lead and guide engineering teams, acting as a technical mentor and thought leader. - Excellent analytical skills with a proven ability to identify and resolve complex technical problems. - Strong written and verbal communication skills, with a philosophy of continuous improvement. Education: Bachelor's degree in Computer Science or a related technical field. A higher degree is a plus. Desired Attributes: Platform Engineering Focus We are specifically seeking candidates who have a strong background in building and operating platforms, frameworks, and foundational services for data teams. The ideal engineer will have demonstrably experience in: - Framework Development: Creating reusable libraries, REST APIs, and services that abstract complexity and accelerate feature development for other data engineers and data scientists. - Platform Ownership: Taking end-to-end ownership of core platform components, including performance tuning, cost optimization, security hardening, and reliability improvements. - Infrastructure as Code (IaC): Deep familiarity with tools like Terraform or CloudFormation for provisioning and managing cloud-native data infrastructure. - Operational Excellence: Designing for operational stability, implementing robust monitoring, alerting, and logging systems, and driving adoption of self-service tooling. - Enabling Data Mesh Principles: Experience in building centralized governance, discovery, and quality tooling that enables decentralized data ownership (data domains). - Data Engineering Expertise: Experience designing, building, and optimizing modern ETL/ELT pipelines using tools like dbt, Apache Airflow, and cloud-native services. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $185,000.00 - $217,400.00