Engineer Jobs

About The Position

Requirements

• 10 or more years of data engineering experience; the overview also specifies typically 10 or more years of data delivery/integration experience.
• Hands-on experience with Scala, Spark, and Kafka Streaming.
• Strong understanding of Hadoop components, architecture, and toolsets, including Spark and Scala, Informatica, Starburst, and Object Storage in enterprise data platforms.
• Experience architecting, developing, and implementing solutions using real-time streaming technologies.
• Experience designing, developing, and deploying real-time, near-real-time, and batch data integration solutions.
• Experience with large-scale analytical platforms, metadata-driven architectures, and distributed data processing frameworks is listed as preferred in the required qualifications section.
• Ability to design and implement cloud-native data platforms using Object Storage, Data Lakehouse architecture, distributed query engines, and streaming technologies.
• Knowledge of performance tuning.
• Experience with Exadata and Oracle SQL tuning.
• Experience with Starburst and Object Storage.
• Hands-on experience with UNIX shell scripting.
• Working experience with scheduling tools.
• Knowledge of Hadoop Spark and Spark Streaming best practices and standards, and standard software development lifecycle experience.
• Ability to ensure software meets functional, non-functional, and compliance requirements and integrates successfully into the overall application or system with robust, well-tested interfaces.
• Development experience using Agile processes.
• Knowledge of Treasury Payments and Deposits domains.
• Solid quantitative, analytical, process development, facilitation, and organizational skills.
• Strong communication, presentation, interpersonal, software development, and work management skills.
• Ability to quickly grasp technology concepts and work under minimal supervision.

Nice To Haves

• Experience with CI/CD build and deployment tools.
• API development experience.
• Financial services or banking experience.
• Experience in distributed computing.
• Experience with open table formats such as Apache Iceberg, Delta Lake, or equivalent technologies.
• Experience with enterprise metadata management, data lineage, governance, and data quality frameworks.

Responsibilities

• Lead requirement analysis, high-level and low-level design, development, and implementation of enterprise-scale data platforms and integration solutions.
• Conduct design reviews, mentor and coach development teams, and produce comprehensive, flexible solution designs.
• Ensure complex feature designs and engineering approaches are consistent with the broader portfolio solution.
• Assemble large, complex data sets that meet functional and non-functional requirements across multiple systems.
• Maintain, improve, clean, and manipulate data for operational and analytical systems; build processes for data transformation, structures, metadata, data quality controls, dependencies, and workload management.
• Communicate information required for deployment, maintenance, and support of business functionality.
• Use multiple architectural components to design and develop client requirements, collaborating with development teams to ensure data architecture is feasible to implement.
• Define and build data pipelines that support data-informed decision-making and adhere to release processes and risk management routines.
• Contribute to integration, regression, and performance test suites; analyze test reports, identify issues and errors, and lead triage of underlying causes.
• Identify gaps in adherence to data management standards and work with partners on plans to close them.
• Lead concept testing and research to prototype toolsets and improve existing processes.
• Mentor Data Engineers on continuous integration and continuous delivery events, and define key performance indicators and internal controls.
• Coordinate with deployment and support teams to ensure projects are deployed successfully into testing and production environments.
• Lead multiple projects concurrently, including projects with competing deadlines, and work with teams in different time zones.

Benefits

• Bank of America describes affordable, competitive, and flexible benefits supporting teammates’ physical, emotional, and financial wellness.