Lead Infrastructure Security Engineer
Posted 2025-06-16
Remote, USA
Full-time
Immediate Start
Job title: Lead Infrastructure Security Engineer in USA at Centene
Company: Centene
Job description: 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:This 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.
- Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity.
- ETL (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.
- Code 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.
- Operational support: Perform operational work including troubleshooting and On-call rotation.
- Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis.
- Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights.
- Model 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.
- Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders.
- Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights.
- Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies.
- Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities.
- Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows.
- Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools.
- Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently.
- Professional 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.
- Performs other duties as assigned.
- Complies with all policies and standards.
Requires 5 – 7 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:
- Proficiency in Databricks platform
- Advanced data pipeline design and development
- Data quality and governance
- Machine learning model development and maintenance
- Data integration processes
- Data security and privacy regulations
- Data visualization tools development
- Data warehouse and data mart design and development
- ETL (Extract, Transform, Load) processes.
- Data governance and compliance
- Proficiency in SQL and Python
- Knowledge of Big Data technologies (Hadoop, Spark)
- Cloud computing (AWS, Azure, GCP)
- Data modeling and architecture
- Advanced analytics and predictive modeling
- Knowledge of data privacy laws and regulations
- Proficiency in BI tools (Tableau, PowerBI)
- Strong problem-solving skills
- Excellent communication and presentation skills
- Project management and team leadership.
- Intermediate - Seeks to acquire knowledge in area of specialty
- Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions
- Intermediate - Ability to work independently
- Intermediate - Demonstrated analytical skills
- Intermediate - Demonstrated project management skills
- Intermediate - Demonstrates a high level of accuracy, even under pressure
- Intermediate - Demonstrates excellent judgment and decision making skills
- Intermediate - Ability to communicate and make recommendations to upper management
- Intermediate - Ability to drive multiple projects to successful completion
- Intermediate - Possesses technical aptitude
- CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred
- Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred
Expected salary: $100900 - 186800 per year
Location: USA
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