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). This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration, and engaging with 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 - Ensures 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 offer 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 - Helps maintain the integrity and security of company data - 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 0 – 2 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Or completion of a Centene-sponsored emerging talent program. Technical Skills: - Experience with Microsoft SQL Servers; SQL Server System - Experience with Big Data; Data Manipulation; Data Mining; Power Tool Operation - Experience building / operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Plus if you have experience with Teradata and Snowflake Soft Skills: - Beginner - Seeks to acquire knowledge in area of specialty - Beginner - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Pay Range: $27.02 - $48.55 per hour 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

• Design, implement, and optimize relational data models for web applications and data warehouses • Develop and optimize complex batch and near-real-time SQL queries to meet product requirements and business needs. • Design and implement core foundational datasets that are reusable, scalable, and performant. • Architect, implement, deploy, and maintain data-driven solutions in Snowflake and Databricks. • Develop and manage data pipeline supporting multiple reports, tools, and applications. • Engagement in data governance council to define, classify, and review standards/guidelines to promote data quality and best practices. • Lead, plan, and collaborate in an agile scrum team • Lead and engage in requirement planning, trainings, and presentations with technical and non-technical teams

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a skilled Microsoft Fabric Data Engineer to design, build, and optimize enterprise-scale data solutions that enable data-driven decision-making. In this role, you will: - Develop scalable data pipelines. - Implement Lakehouse architectures. - Integrate diverse data sources across cloud platforms. - Work closely with IT, analytics, and business teams to translate complex requirements into robust data solutions. - Mentor junior engineers while delivering high-quality, reliable data services. The environment is collaborative, fast-paced, and focused on modern data engineering practices, including automation, real-time processing, and advanced analytics. This is a remote role with milestone-based travel requirements. Accountabilities: - Design, build, and maintain distributed, scalable data pipelines using Microsoft Fabric and Apache Spark to process structured and unstructured data. - Integrate data from multiple internal and external systems, ensuring consistency, reliability, and proper lineage. - Optimize ETL/ELT workloads to improve throughput, cost efficiency, and performance of large-scale analytics environments. - Implement and enforce data quality, metadata management, governance, and compliance standards. - Collaborate with data scientists, analysts, architects, and business stakeholders to deliver insights and integrate analytical models. - Document pipeline architectures, workflows, schemas, and operational processes, while troubleshooting and ensuring enterprise-grade reliability. - Explore emerging technologies to enhance data engineering practices, including Lakehouse architecture, real-time processing, and automation. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. - 7+ years of experience in data engineering, data architecture, or large-scale data platform development. - Strong expertise in Apache Spark for batch and streaming processing. - Hands-on experience with Microsoft Fabric, Data Factory, pipelines, and Lakehouse implementations. - Advanced proficiency in SQL, Python, and/or Scala. - Experience with cloud platforms such as Azure, AWS, or GCP. - Solid understanding of distributed systems, lakehouse architecture, and data modeling. - Proven ability to design and optimize complex ETL/ELT pipelines. - Strong communication, leadership, and mentoring skills. Requirements - Preferred: Certifications in Azure Data Engineering, Apache Spark, or Microsoft Fabric. - Experience with real-time streaming technologies (Kafka, Azure Event Hubs). - DevOps practices including CI/CD and Infrastructure as Code. - Knowledge of Power BI or Tableau. Benefits - Competitive salary and performance-based incentives. - Flexible remote work with milestone-based travel opportunities. - Comprehensive healthcare and retirement plans. - Opportunities for professional development and skill growth. - Collaborative and innovative technology environment. - Access to cutting-edge data engineering tools and cloud technologies.

• Someone to define data architecture for some of our clients. • On a daily basis, you will be working with customers. • You might be helping a new customer get started with Tinybird and guiding them on the best way to integrate Tinybird into their data stack. • Or, you could be working on optimizing a use case for one of our most experienced clients. • Many of our customers ingest billions of rows in real time and need to use that same data to make decisions in the same moment—for example, detecting fraudulent transactions or deciding what to offer someone based on their history and current browsing. • Here, you'll always have the opportunity to work with different types of clients and at various scales of data. • You’ll also collaborate with other teams. You might work with the product team to figure out the most effective way to solve a problem or ensure they understand what our customers are demanding. Or you might work with the sales-engineering team to hand over a customer or understand how you can help in a PoC. • If you enjoy challenges, are a constant learner, and like sharing your knowledge and helping others, then this is for you—apply now.