Senior Infrastructure Security Engineer

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.

Education/Experience:

A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and Requires 4 – 6 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

Soft Skills:

• 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 c