JPMorgan Data Engineer Security III 

United States, Florida, Tampa 

70917009

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

• Cloud computing: Amazon Web Service, Docker, Kubernetes.
• Experience in big data technologies: Kafka, Iceberg
• Hands on experience on Terraform
• Experience in distributed system design and development
• AWS Certification is a plus