Senior Data Engineer

Bank of America; Charlotte (NC); On-site; USD 120,000 - 150,000; Full time

Job summary

Bank of America is seeking an experienced Data Engineer to drive enterprise-scale data platforms and complex data solutions. You will lead design, development, and delivery of data integration work across multiple systems, leveraging Spark/Scala, Kafka, Hadoop, and cloud technologies.

You will mentor teams, ensure robust interfaces, and work to deploy solutions across testing and production environments in collaboration with project management and stakeholders.

Qualifications

• Experience with large-scale data platforms and integration.
• Strong knowledge of Spark/Scala, Kafka, Hadoop, and cloud tech.
• Ability to design robust data pipelines and data quality controls.

Responsibilities

• Assembles large, complex data sets meeting functional and non-functional requirements across multiple systems.
• Maintains, cleans, and transforms large data for operational and analytics use cases.
• Defines and builds data pipelines enabling data-informed decision making and complies with release processes.

Skills

Spark/Scala

Kafka

Hadoop

Cloud technologies

Informatica

Data pipelines

ETL design

Tools

Starburst

Informatica

Spark Streaming

Job description

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.

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 driving data engineering efforts to deliver enterprise-wide capabilities and complex data solutions. Key responsibilities include directing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems and working with the Project Management team to define outcomes and inform work structures. Job expectations include providing technical thought leadership by implementing complex data solutions and interactions across multiple systems and domains.

Overview

• Lead requirement analysis, high-level and low-level design, development, and implementation of enterprise-scale data platforms and integration solutions leveraging Spark/Scala, Kafka, Hadoop, Starburst, Cloud technologies, Object Storage, and Informatica.
• Lead developer experience with ability to conduct design reviews, mentor / coach development teams, and produce comprehensive yet flexible solution designs.
• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution
• Key experience developing and delivering complex software requirements to accomplish business goals
• Capability to ensure software is developed to meet functional, non-functional, and compliance requirements
• Successful background ensuring solutions can be integrated successfully into the overall application/system with clear, robust and well-tested interfaces
• Should be able to lead multiple projects concurrently each with competing deadlines.
• Should be knowledgeable in Treasury Payments and Deposits domains.
• Serves as a fully seasoned/proficient technical resource; provides technical knowledge and capabilities as team member and individual contributor.
• Typically 10 or more years of data delivery/integration experience
• Works under minimal supervision
• Has the knowledge of Hadoop Spark/Spark Streaming best practices and standards as well as standard software development lifecycle experience.
• Must have an understanding of our ability to quickly grasp technology concepts
• Solid quantitative, analytical, process development, facilitation skills, and organizational skills required
• Strong communication, presentation, interpersonal, software development and work management skills are essential
• Coordinate with deployment and support teams and ensure projects are successfully deployed into testing and Production environments.
• Development experience using Agile process
• Experience in designing, developing and deploying Real time and Near real time & batch data integration solutions
• Work with people in different time zones & teams

Responsibilities

• Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems
• Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality
• Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement
• Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines
• Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and