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Data Security Engineer

Bank of America
Chicago, IL, USAHybridSoftware EngineeringSenior-Level$104,000 - $157,700Posted: today

About the role

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success.

This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job 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.

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.

Required 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 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 This job will be open and accepting applications for a minimum of seven days from the date it was posted. Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - CO - Denver - 1144 15th St - Denver Gis (CO9926), US - DC - Washington - 1800 K St NW - 1800 K Street NW (DC1842), US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540) Pay and benefits information Pay range $104,000.00 - $157,700.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible.

We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Privacy Statement: https://careers.bankofamerica.com/en-us/privacy-notice At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees.

We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Partnering Locally Learn about some of the ways Bank of America is making a difference in the communities we serve. Global Impact Learn about the six areas that guide Bank of America’s efforts to help make financial lives better for customers, clients, communities and our teammates.

Opportunity and Inclusion Each employee brings unique skills, background and opinions. We see opportunity and inclusion as our platform for innovation and a key component in our success. Our Values Learn about our four values that represent what we believe. Pay Transparency: https://careers.bankofamerica.com/en-us/pay-transparency

Minimum requirements

  • 8+ years of data engineering/software development experience with Hadoop, Cloudera, AWS, Azure, Python (PySpark), SQL, UNIX, HIVE, HBase, Elastic, Bitbucket, and CI/CD pipelines
  • Strong knowledge of data engineering principles, SDLC processes, and ability to guide junior engineers
  • Ability to partner with stakeholders, refine requirements, and deliver scalable data solutions across the development lifecycle

This listing was parsed by AI and may not be complete. Check the official posting on Bank of America's site for the most accurate information.

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