Data Security Engineer

Bank of America

. Lead efforts to develop and deliver complex data solutions to achieve technology and business goals .

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 developing and delivering complex data solutions, including data integration, transformation, and management. Proficient in Python, SQL, and big data technologies, with a strong focus on data engineering principles and CI/CD practices.

Highest-signal resume keywords

Data Engineering SolutionsPython ProgrammingBig Data ProcessingCI/CD PipelinesCloud Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationData TransformationSQLUNIXPySparkHadoopClouderaHIVEHBaseElastic

Soft Skills

Stakeholder CollaborationMentoringProblem SolvingCommunicationContinuous Improvement

Tools & Technologies

AWSAzureBitbucket

Industry Keywords

Data Quality ControlsSDLC ProcessesData GovernanceCybersecurity

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityHadoopHBasePySparkPythonSDLCSQLUnix

About the role

Key responsibilities & impact

Lead efforts to develop and deliver complex data solutions to achieve technology and business goals
Design and deliver code for data integration, cleaning, transformation, and control in operational and analytics data systems
Partner with stakeholders to refine requirements, define user stories, and estimate delivery effort
Design and develop scalable data solutions using multiple architectural components
Build, integrate, transform, and manage complex datasets
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 and drive continuous improvement of data engineering practices
Contribute to integration, regression, and performance testing; analyze results, identify defects, and resolve root causes
Document deployment, maintenance, support, and business processes while following release management and code deployment standards
Monitor KPIs, maintain internal controls, and identify gaps in data management standards and governance
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 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

Inclusive workplace and culture of caring
Opportunities to learn, grow, and make an impact
Affordable, competitive, and flexible benefits
Support for physical, emotional, and financial wellness
Paid time off
Resources and support for employees
Annual discretionary incentive plan eligibility
In-office flexibility based on role-specific responsibilities and business needs