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.nnPosition Purpose:nnThis role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake.nnData Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity.nnETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts.nnCode Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns.nnOperational support: Perform operational work including troubleshooting and On-call rotation.nnData Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis.nnData Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights.nnModel Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance.nnData Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders.nnCollaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights.nnTesting: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies.nnData Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities.nnAutomation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows.nnContinuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools.nnProblem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently.nnProfessional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies.nnPerforms other duties as assigned.nnComplies with all policies and standards.nnEducation/Experience:nnA Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science).nnRequires 4 – 6 years of related experience.nnOr equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.nnTechnical Skills:nnOne or more of the following skills are desired:nnProficiency in Databricks platformnnAdvanced data pipeline design and developmentnnData quality and governancennMachine learning model development and maintenancennData integration processesnnData security and privacy regulationsnnData visualization tools developmentnnData warehouse and data mart design and developmentnnETL (Extract, Transform, Load) processesnnData governance and compliancennProficiency in SQL and PythonnnKnowledge of Big Data technologies (Hadoop, Spark)nnCloud computing (AWS, Azure, GCP)nnData modeling and architecturennAdvanced analytics and predictive modelingnnKnowledge of data privacy laws and regulationsnnProficiency in BI tools (Tableau, PowerBI)nnStrong problem-solving skillsnnExcellent communication and presentation skillsnnProject management and team leadershipnnSoft Skills:nnIntermediate - Seeks to acquire knowledge in area of specialtynnIntermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusionsnnIntermediate - Ability to work independentlynnIntermediate - Demonstrated analytical skillsnnIntermediate - Demonstrated project management skillsnnIntermediate - Demonstrates a high level of accuracy, even under pressurennIntermediate - Demonstrates excellent judgment and decision making skillsnnLicense/Certification:nnCompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferrednnDatabrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferrednnPay Range: $83,600.00 - $155,000.00 per yearnnCentene 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. Total compensation may also include additional forms of incentives.nnCentene 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.nnQualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act