Data Engineer, Security Engineer III

Your seniority as a data engineer puts you in the ranks of the top talent in your field.

Play a critical role at one of the world's most iconic financial institutions where security is vital.

As a Data Engineer at JPMorgan Chase within the Cybersecurity Technology Controls, you serve as a seasoned member 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.

Carry out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities


* Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g., product, platform, application owners)


* Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems


* Applies specialized tools (e.g., vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize the probability and impact of threats when determining specific vulnerabilities


* Leads delivery of continuity-related awareness, training, educational activities, and exercises


* Adds to team culture of diversity, equity, inclusion, and respect


* Design, Build and Deploy scalable ETL pipelines leveraging Trino, pySpark, AWS Services (S3, Glue) for large-scale data processing.


* Leverage AWS Services such as S3, SNS, Athena for storage, data query in the cloud environment.


* Use tools like Kestra/Airflow to automate schedule and monitor complex data workflows ensuring smooth data flows and timely execution.


* Use a wide array of data formats appropriate for building a Modern Data Stack


* Leverage Docker and Kubernetes for containerization and orchestration to achieve scalable deployments.


* Write and Optimize SQL queries for transformation, analysis with focus on performance.

Required qualifications, capabilities, and skills



* Formal training or certification on data engineering concepts and 3+ years applied experience


* Experience developing security engineering solutions


* Proficient in coding in one of more languages


* Overall knowledge of the Software Development Life Cycle


* Solid understanding of agile methodologies such as CI/CD, application resiliency, and security


* Knowledge of AWS services such as S3, Athena, SNS, SQS , Glue


* Experience with Apache Airflow and/or Kestra for automating data flows


* Proficiency in pySpark for data processing


* Proven experience with data formats, open table formats and data partitioning

Preferred qualifications, capabilities, and skills



* Cloud computing: Amazon Web Service, Docker, Kubernet...