Security Engineer III - Data Engineering

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 Security Engineer III – Data Engineering at JPMorgan Chase within the Cybersecurity and Technology Controls line of business, 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.

Are you ready to make a significant impact in cybersecurity? As a Security Engineer III – Data Engineering at JPMorgan Chase, you'll be a key member of an engineering team that delivers software solutions to meet security requirements and prevent misuse. Your work will directly enable Cyber Operations users and stakeholders, supporting the firm’s business objectives in a collaborative environment that values diversity, equity, and inclusion. You will design and implement complex, scalable solutions to efficiently process data, ensuring consistent and timely delivery and availability.

Job responsibilities

Execute data engineering solutions, including design, development, and technical troubleshooting with the ability to apply knowledge of existing solutions to satisfy security requirements for Cyber Operations users and stakeholders (., clients, users, product, platform, application owners). Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendor sources. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture. Collaborate with cross-functional teams to understand requirements, develop solutions, and deliver high-quality software solutions. Troubleshoot and debug issues, perform root cause analysis, and implement effective solutions. 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. Conduct code reviews, provide constructive feedback, and mentor team members. Stay up-to-date with emerging technologies, trends, and best practices in software engineering, cloud computing, and Cybersecurity. Add to a team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud-based environment. 3+ years of work-related experience in a professional software engineering role. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as dbt is desired. Experience with Big Data & ETL tools like Alteryx, Pentaho, Hadoop, Apache Airflow, or AWS Glue. Strong proficiency in Python, with a deep understanding of object-oriented programming principles. Strong understanding of API protocols and standards, including REST and GraphQL. Experience with CI/CD pipelines, automated testing, Git and GitHub, containerization, and infrastructure as code (IaC) tools like Terraform. Solid understanding of agile methodologies and DevOps best practices, such as CI/CD, application resiliency, security, and Test Driven Development. There may be requirements to build and implement web apps/UI, therefore experience with front-end technologies or Business Intelligence (BI) tools would be ideal. Excellent problem-solving skills, attention to detail, and ability to work independently or as part of a team. Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels, provide training, and solicit feedback.

Preferred qualifications, capabilities, and skills

Experience with Business Intelligence tools such as Qlik, Tableau, or PowerBI. Experience with front-end technologies, such as HTML5, CSS3, and JavaScript. Knowledge of JavaScript frameworks, such as React (preferred), Angular, and . Knowledge of CSS frameworks, such as Bootstrap, Material UI, and Tailwind CSS. Data Science or AI/ML experience. AWS certification (., AWS Certified Solutions Architect, AWS Certified Developer).