Senior Data Security Engineer — Data Solutions & CI/CD

Bank of America

Chicago (IL)

On-site

USD 104,000 - 158,000

Full time

8 days ago

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Job summary

Bank of America is seeking an experienced data engineer to lead development of complex data solutions and oversee the integration, cleansing, transformation, and governance of data across operational and analytics systems.

The role collaborates with Product Owners and Software Engineers, emphasizes design patterns, and may require cybersecurity domain knowledge. This position is based in the United States, offers 40-hour weeks, and a competitive salary.

Qualifications

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.

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.