Global AML Operations - Data Engineer

Global AML Operations - Data Engineer

Charlotte, North Carolina;Jacksonville, Florida; Pennington, New Jersey; Plano, Texas

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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 job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.

Responsibilities:

Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle

Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria

Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process

Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes

Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes

Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality

Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes

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

Line of Business Job Description

This role is responsible for designing, developing, implementing, and supporting data and reporting solutions for AML. The individual will work closely with business partners, product owners, and technology teams to deliver reliable, scalable, and efficient data capabilities that support operational processes, reporting, analytics, and regulatory requirements.

The position requires strong technical skills, attention to detail, and the ability to execute across multiple initiatives while contributing to the stability, performance, and continuous improvement of AML data platforms.

Responsibilities:

Design, develop, test, and maintain data pipelines, reporting solutions, and data products supporting AML processes.

Build and enhance data integrations, workflows, and automation solutions to improve efficiency and data quality.

Develop scalable and reusable data components that support multiple applications and use cases.

Support the day-to-day operation of AML data platforms, including issue resolution, monitoring, and performance optimization.

Analyze data requirements and translate business needs into technical solutions.

Perform data analysis, validation, reconciliation, and quality checks to ensure accuracy and completeness.

Troubleshoot production issues and implement sustainable solutions to prevent recurrence.

Participate in code reviews and testing activities to ensure solution quality and adherence to development standards.

Contribute to platform resiliency, performance tuning, and disaster recovery testing activities.

Create and maintain technical documentation, operational procedures, and support materials.

Support Agile delivery process.

Identify opportunities to improve processes, automation, and overall platform efficiency.

Required Qualifications:

3+ years of experience designing, developing, and supporting data solutions in a complex enterprise environment.

Hands-on experience developing and maintaining data pipelines, reporting solutions, and workflow automation.

Strong experience with SQL and large-scale data processing.

Experience supporting production environments, including monitoring, troubleshooting, and performance optimization.

Ability to analyze complex data problems and develop practical, scalable solutions.

Experience working within Agile delivery teams.

Strong written and verbal communication skills.

Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.

Strong collaboration skills and ability to work effectively with technical and business partners.

Experience with data governance, data quality, and control processes.

Ability to work independently while contributing effectively within a team environment.

Desired Qualifications:

Experience building reusable frameworks, automation capabilities, or shared platform components.

Familiarity with data architecture principles and enterprise data management practices.

Experience working with reporting, analytics, or business intelligence solutions.

Demonstrated ability to learn new technologies and apply them effectively.

Self-motivated with a focus on execution and continuous improvement.

Skills:

Data Engineering

Data Integration

SQL Development

Data Pipeline Development

ETL / ELT Development

Workflow Automation

Data Quality Management

Application Development

Cloud Data Technologies

Performance Optimization

Production Support

Troubleshooting

Agile Delivery

Analytical Thinking

Collaboration

Solution Implementation

Process Improvement

Shift:

1st shift (United States of America)

Hours Per Week:

40

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