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Data Engineer II

Bank of America Open
Charlotte Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Bank of America. Charlotte · full-time · $100,400–$146,400 base.

SalaryStated by Bank of America
$100,400 – $146,400
Base salary for this role, in USD per year, as published in the posting.
This role, from Bank of AmericaOur estimate for the market: $126,200–$146,000Median $126,200
The range includes the market median of $126,200 for mid-level data engineering roles in Charlotte.
Worked out from 5 postings that stated pay, median $126,200. Last updated Nov 6, 2026.
RoleData Engineering
SeniorityMid-level
LocationCharlotte
EmploymentFull-time
Base pay$100,400–$146,400
PostedNov 6, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Administer and improve RHEL systems, IBM Storage Scale and ESS, and SAN- and NAS-connected platforms
  • Automate infrastructure work and strengthen Linux and storage operations through scripting and platform improvements
  • Diagnose issues across Linux, storage, networking, and infrastructure to keep critical services available
  • Plan capacity, assess performance, and support replication, disaster recovery, and high-availability solutions
  • Lead complex troubleshooting and modernization work while guiding infrastructure, storage, and automation efforts

What you bring

  • At least nine years working as a data engineer or in a comparable position
  • You have hands-on experience running RHEL and IBM Storage Scale, including ESS appliances
  • You understand Linux internals and enterprise storage, including distributed filesystems and storage networking
  • You have supported production infrastructure in regulated settings, with strong availability and compliance needs
  • You can automate with Python, Shell, Bash, or Ansible and lead complex technical problem-solving

Who this fits

This role suits an experienced engineer focused on Linux platforms, enterprise storage, automation, and operational leadership. It includes technical guidance and mentorship for infrastructure engineering, storage operations, and automation work. The role is based in Charlotte, and the stated schedule is first shift with a forty-hour workweek.

From the employer

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.
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$100k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.