JPMorgan Chase & Co.

Lead Security Engineer - Data/ML Engineering - Python/SQL

Jersey City, NJ, US

Remote
Full-time
$152k–$215k/year
2 days ago
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Summary

JobID: 210628299 Category: Security Engineering JobSchedule: Full time Posted Date: 2025-05-19T19:01:00+00:00 JobShift: Base Pay/Salary: Jersey City, NJ $152,000.00-$215,000.00 Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the world's largest and most influential companies. As a Lead Security Engineer at JPMorgan Chase within Cybersecurity Operations, you are an integral part of a team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions. Job responsibilities * Design, develop, and maintain software applications using Python and SQL. Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors * Analyze large and complex datasets to identify trends, patterns, and insights * Collaborate with stakeholders to understand operational needs and translate them into actionable data-driven solutions * Create data visualizations and dashboards to communicate findings to operational teams and non-technical audiences * Architect and implement cloud-based solutions on AWS, ensuring scalability, reliability, and security * Write clean, efficient, and maintainable code in production following best practices and coding standards, such as Test Driven Development and implementing rigorous unit/integration testing. Stay up-to-date with emerging technologies, trends, and best practices in software engineering, cloud computing, and Cybersecurity * Conduct code reviews, provide constructive feedback, and mentor team members * Execute creative security solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems * Minimize security vulnerabilities by following industry insights and governmental regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls * Work with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability * Add to a team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills * Formal training or certification on software engineering, computer science, or data science concepts and 5+ years applied experience * Strong proficiency in Python, with a deep understanding of object-oriented programming principles * Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT * Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL * Good understanding of machine learning techniques and statistical methods * Experience with A/B testing and experimental design * Hands-on experience with AWS services such as S3, Lambda, Athena, EC2, SQS, RDS, DynamoDB, etc. * Experience with CI/CD pipelines, automated testing, Git and GitHub, containerization, and infrastructure as code (IaC) tools like Terraform * Skilled in planning, designing, and implementing enterprise level security solutions * Proficient in all aspects of the Software Development Life Cycle * Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills * Experience with data visualization tools such as Qlik, Tableau, or Power BI * Experience with big-data technologies, such as Splunk, Trino, and Apache Iceberg * AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer)

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