Data Engineer II

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
• Support onboarding of new Starburst data products.
• Perform platform health monitoring and reporting.
• Assist with incident troubleshooting and ticket management.
• Validate catalogs, connectors, and user access.
• Create operational documentation and runbooks.
• Assist in dashboard and monitoring setup.
• Support GenAI data access and validation activities.
• Support new tenants onboarding
• Supporting data products within AMI
• AIDA support within Starburst within AMI
• AI Enterprise Platform Integration and Scale
• Lead Starburst and MDAP platform architecture for an enterprise wide, critical data analytics platform with significant cost savings, defining controls and complex design across dedicated OpenShift environments. Niche: containers/kubenetes/SQL 

Required Qualification:

• Bachelor’s degree in computer science/data engineering.
• Starburst knowledge
• kubernetes/containers
• YAML
• openshift
• hadoop
• SQL knowledge.
• Basic Linux experience.
• Understanding of databases and data warehousing.
• Basic Python programming.
• Good verbal and written communication skills.

Desired Qualifications:

• Full understanding of images/containers/kubernetes/YAML file/BIACs
• 3+ years Starburst experience and skills as Admin and DEVOPs ability to mult-task and work with multiple groups/users/teams etc

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