Centene Corporation
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Senior Infrastructure Security Engineer
role at
Centene Corporation .
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 developing strategy, executing design and implementing efficient data pipelines to ensure a smooth flow of information into the Security Data Lake.
Responsibilities
Data Storage and Management: Store and manage ingested data, optimize data schemas and ensure data quality and integrity.
ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a suitable format, involving cleansing, aggregation, enrichment.
Code Review and Mentorship: Review code submissions, provide feedback and mentor junior developers on best practices.
Operational support: Perform operational work including troubleshooting and on‑call rotation.
Data Collection and Cleaning: Acquire data from various sources and ensure accuracy and completeness.
Data Analysis and Interpretation: Analyze large datasets using statistical and machine learning techniques to identify trends and insights.
Model Building and Evaluation: Develop predictive models using machine learning algorithms, including selection, training, and evaluation.
Data Visualization: Create visualizations (charts, dashboards, reports) to present findings.
Collaboration: Work closely with cross‑functional teams to understand needs and deliver data‑driven insights.
Testing: Design and conduct A/B tests to validate hypotheses.
Data Strategy: Provide strategic advice on leveraging data for growth and decision‑making.
Automation and Optimization: Streamline data processes and automate repetitive tasks for efficiency.
Continuous Learning: Stay updated with latest trends in software architecture, AI technologies, and development tools.
Problem‑Solving: Troubleshoot and resolve complex technical problems.
Professional Development and Training: Participate in training sessions to enhance skills in architecture and AI.
Perform other duties as assigned.
Comply 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 4–6 years of related experience, or equivalent experience through accomplishments and knowledge.
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 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 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
License / Certification
CompTIA Security+, CISSP, Splunk Certifications preferred
Databrick Certification, Python Certifications, or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred
Compensation & Benefits Pay Range: $85,300.00 – $158,100.00 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 schedules.
Equal Opportunity Employer Centene is an equal‑opportunity employer committed to diversity, and values the differences among its workforce. 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 characteristics protected by applicable law.
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and California Fair Chance Act.
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Senior Infrastructure Security Engineer
role at
Centene Corporation .
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 developing strategy, executing design and implementing efficient data pipelines to ensure a smooth flow of information into the Security Data Lake.
Responsibilities
Data Storage and Management: Store and manage ingested data, optimize data schemas and ensure data quality and integrity.
ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a suitable format, involving cleansing, aggregation, enrichment.
Code Review and Mentorship: Review code submissions, provide feedback and mentor junior developers on best practices.
Operational support: Perform operational work including troubleshooting and on‑call rotation.
Data Collection and Cleaning: Acquire data from various sources and ensure accuracy and completeness.
Data Analysis and Interpretation: Analyze large datasets using statistical and machine learning techniques to identify trends and insights.
Model Building and Evaluation: Develop predictive models using machine learning algorithms, including selection, training, and evaluation.
Data Visualization: Create visualizations (charts, dashboards, reports) to present findings.
Collaboration: Work closely with cross‑functional teams to understand needs and deliver data‑driven insights.
Testing: Design and conduct A/B tests to validate hypotheses.
Data Strategy: Provide strategic advice on leveraging data for growth and decision‑making.
Automation and Optimization: Streamline data processes and automate repetitive tasks for efficiency.
Continuous Learning: Stay updated with latest trends in software architecture, AI technologies, and development tools.
Problem‑Solving: Troubleshoot and resolve complex technical problems.
Professional Development and Training: Participate in training sessions to enhance skills in architecture and AI.
Perform other duties as assigned.
Comply 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 4–6 years of related experience, or equivalent experience through accomplishments and knowledge.
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 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 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
License / Certification
CompTIA Security+, CISSP, Splunk Certifications preferred
Databrick Certification, Python Certifications, or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred
Compensation & Benefits Pay Range: $85,300.00 – $158,100.00 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 schedules.
Equal Opportunity Employer Centene is an equal‑opportunity employer committed to diversity, and values the differences among its workforce. 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 characteristics protected by applicable law.
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and California Fair Chance Act.
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