Global AML Operations - Data Engineer

Bank of America•Pennington, AL

8d•$116,600 - $142,500•Onsite

About The Position

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. 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.

Requirements

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.
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

Nice To Haves

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.
Data Engineering
Data Integration
SQL Development
Data Pipeline Development
ETL / ELT Development
Workflow Automation
Cloud Data Technologies
Performance Optimization
Production Support
Troubleshooting
Agile Delivery
Solution Implementation
Process Improvement

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
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.