Data Security Engineer

Bank of America is seeking a Data Security Engineer in Chicago, IL for an onsite role focused on leading efforts to develop and deliver complex data solutions. This position combines data engineering delivery with data security-minded controls, partnering across engineering and stakeholder groups to design scalable architectures, improve data quality, and support testing and deployment.

The role emphasizes building reliable data pipelines and governance foundations, then translating findings from testing and performance work into continuous improvement. You will also contribute to proof-of-concept and experimentation efforts while mentoring junior engineers and coaching teams on CI/CD, automation, and engineering best practices.

Responsibilities

• Partner with stakeholders to refine requirements, define user stories, and estimate delivery effort across the development lifecycle.
• Design and develop scalable data solutions using multiple architectural components to meet business and technical requirements.
• Build, integrate, transform, and manage complex datasets that support operational and analytical data needs.
• Develop and maintain data pipelines, data structures, metadata frameworks, and data quality controls to enable informed decision-making.
• Collaborate with development teams to ensure data architectures are feasible, scalable, and accurately implemented.
• Resolve technical challenges, support solution delivery, and drive continuous improvement of data engineering practices.
• Contribute to integration, regression, and performance testing by analyzing results, identifying defects, and resolving root causes.
• Document deployment, maintenance, support, and business processes while adhering to release management and code deployment standards.
• Monitor key performance indicators, maintain internal controls, and identify gaps in data management standards and governance practices.
• Lead proof-of-concept and experimentation initiatives while mentoring junior engineers and coaching teams on CI/CD, automation, and engineering best practices.

Requirements

• 8+ years of hands-on data engineer/software development experience.
• Experience with big data processing systems such as Hadoop and Cloudera.
• Experience with cloud services/technologies such as AWS and Azure.
• Python programming with PySpark experience.
• Strong SQL and UNIX experience.
• Experience with data stores such as HIVE, HBase and Elastic.
• Experience with code versioning systems such as Bitbucket.
• Experience with CI/CD pipelines.
• Good knowledge of data engineering principles and SDLC processes.
• Ability to detect early and articulate challenges and gaps in requirements with business partners.
• Ability to guide junior engineers toward project completion and deliveries.
• Desire to mentor and sponsor other associates.
• Cybersecurity domain experience preferred.

Technologies

• Hadoop, Cloudera
• AWS, Azure
• Python, PySpark
• SQL, UNIX
• HIVE, HBase, Elastic
• Bitbucket
• CI/CD

Preferred Qualifications

• Proven experience building end-to-end data engineering solutions.
• Ability to articulate multiple engineering solution options, including pros and cons, to stakeholders.
• Desire to mentor and sponsor other associates.
• Cybersecurity domain experience preferred.

Skills

• Analytical Thinking
• Application Development
• Data Management
• DevOps Practices
• Solution Design
• Agile Practices
• Collaboration
• Decision Making
• Risk Management
• Test Engineering
• Architecture
• Business Acumen
• Data Quality Management
• Financial Management
• Solution Delivery Process

Work Details

• Location: Chicago, IL (onsite)
• Shift: 1st shift (United States of America)
• Hours per week: 40
• Minimum experience: 8 years