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Sobre este puesto de Data Engineer II en Bank of America

Bank of America · Presencial · Charlotte

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!


Position Summary:

This role is responsible for the administration, engineering, automation, and continuous improvement of enterprise Linux and storage platforms supporting critical business applications and data services. The Lead Engineer drives operational excellence across Red Hat Enterprise Linux (RHEL) environments, IBM Storage Scale (GPFS), IBM Storage Scale System (ESS), SAN-attached storage, network-attached storage, replication technologies, disaster recovery solutions, and infrastructure automation.

The role partners closely with Application Teams, Infrastructure Engineering, Information Security, Network Engineering, Architecture, Vendor Support, and Operations teams to design, implement, troubleshoot, and optimize highly available storage and compute environments. The position requires deep expertise in Linux system administration, enterprise storage technologies, performance analysis, automation, capacity planning, security compliance, and platform modernization initiatives.

This position also provides technical leadership, governance, operational oversight, and mentorship for infrastructure engineering, storage operations, and automation initiatives.


Required Qualifications:

  • 9+ years of experience as a Data Engineer or similar role
  • Strong hands-on experience administering Red Hat Enterprise Linux (RHEL) environments
  • Extensive knowledge of Linux operating system internals, kernel architecture, memory management, process scheduling, networking, and filesystems
  • Experience supporting enterprise-scale Linux infrastructure in highly regulated environments
  • Strong experience with IBM Storage Scale (GPFS) administration and distributed file system architecture
  • Experience managing IBM Storage Scale System (ESS) appliances and enterprise storage platforms
  • Knowledge of SAN, NAS, block storage, object storage, storage virtualization, and storage networking concepts
  • Experience implementing and supporting storage replication, disaster recovery, and high-availability solutions
  • Strong troubleshooting skills across operating systems, storage, networking, and infrastructure layers
  • Experience with Python, Shell scripting, Bash, or Ansible automation
  • Knowledge of LDAP, Active Directory integration, centralized authentication, and identity management
  • Experience with patch management, vulnerability remediation, and infrastructure compliance processes
  • Familiarity with monitoring and observability platforms
  • Experience supporting production-critical environments with stringent availability requirements
  • Strong understanding of Incident, Problem, Change, and Service Request Management processes
  • Experience working with infrastructure vendors and enterprise support organizations
  • Demonstrated ability to lead complex troubleshooting and infrastructure modernization initiatives
  • Strong documentation, communication, and technical leadership skills

Desired Qualifications:

  • Linux Platform Engineering
  • Enterprise Storage Engineering
  • Infrastructure Automation & DevOps
  • Security & Compliance
  • Operational Excellence
  • Solution Design & Architecture
  • Leadership & Delivery

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

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - NJ - Pennington - 1300 American Blvd - Hopewell Bldg 3 (NJ2130)

Pay and benefits information

Pay range

$100,400.00 - $146,400.00 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.
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Cómo se compara este salario de Data Engineer

Este puesto paga $123,400/yr — por debajo de el rango típico para los puestos de Data Engineer.

$118,114 la mediana de $144,000 $188,195

Rango típico $129,783–$171,655/yr, a partir de 28 ofertas comparables de Data Engineer en JobsRadar (salario anualizado en USD). Ver datos salariales de Data Engineer →

Sobre Bank of America

Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in t

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