Data Security Engineer

Bank of America

. Partner with stakeholders to refine requirements, define user stories, and estimate delivery effort across the development lifecycle .

Posted 10/16/2026full-timeUnited StatesSeniorLead💰 $104,000 - $157,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and developing scalable data solutions, managing complex datasets, and implementing data engineering best practices. Proficient in Python, SQL, and cloud technologies, with a strong focus on CI/CD and mentoring junior engineers.

Highest-signal resume keywords

Data EngineeringPython ProgrammingBig Data ProcessingCloud TechnologiesCI/CD Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringPython ProgrammingSQLUNIXHadoopClouderaHIVEHBaseElasticCI/CD

Soft Skills

MentoringCollaborationProblem-SolvingCommunicationStakeholder Engagement

Tools & Technologies

AWSAzureBitbucketData PipelinesMetadata Frameworks

Industry Keywords

CybersecurityData ManagementSDLCData Quality ControlsPerformance Testing

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityHadoopHBasePySparkPythonSDLCSQLUnix

About the role

Key responsibilities & impact

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
Build, integrate, transform, and manage complex datasets for operational and analytical data needs
Develop and maintain data pipelines, data structures, metadata frameworks, and data quality controls
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
Mentor junior engineers and coach teams on CI/CD, automation, and engineering best practices

Requirements

What you’ll need

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
Proven experience building end-to-end data engineering solutions
Ability to articulate multiple engineering solution options, including pros and cons, to stakeholders
Cybersecurity domain experience preferred

Benefits

Comp & perks

Discretionary incentive eligible; eligible to participate in the annual discretionary plan
Industry-leading benefits
Paid time off
Resources and support to employees
In-office culture supporting collaboration, engagement, and career development
Opportunities to learn, grow, and make an impact