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Data Security Engineer

Bank of America
Chicago, USA
Full-time
Senior · 8+ years experience
Onsite
Discovered 1 weeks ago
awsazurehadooppythonsql

Full Job Posting

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.

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
  • 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.
  • 1st shift (United States of America)
  • 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.

Preferred 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

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.

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