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# Data Security Engineer

- **Company:** Bank of America
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $104,000.0 - $158,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Unix, Cyber Security, Continuous Integration, Data Architecture, Information Engineering, Data Structures, Data Stores, DevOps, Apache Hadoop, Apache HBase, Apache Hive, Python (Programming Language), Systems Development Life Cycle, Release Management, Cloud Services, Standard Sql, Cloudera, Software Engineering, Performance Testing, Pyspark, Bitbucket, Data Management, Software Version Control, Data Pipelines
- **Published:** October 17, 2026
- **Apply:** https://www.builtincolorado.com/job/data-security-engineer/11730291?handler=ApplyRedirect

## About the Role

* 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

Desired 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

## Description

This role is responsible for leading efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytics data systems. They work with stakeholders, Product Owners and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues. These individuals are proficient in data engineering practices and have extensive experience using design and architectural patterns. The candidate is preferred to have knowledge in the cyber security domain., * 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.