Senior Data Engineer

Bank of America; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Bank of America is seeking a Senior Data Engineer to lead the design and delivery of enterprise-scale data platforms and integration solutions. You will drive development using Spark/Scala, Kafka, Hadoop, Starburst, cloud technologies, object storage, and Informatica while mentoring teams and ensuring robust interfaces across systems.

The role emphasizes delivering complex data solutions that meet functional and non-functional requirements, with a focus on governance, compliance, and

Qualifications

• 10+ years in data delivery/integration.
• Experience with Spark/Scala, Kafka, Hadoop and cloud data platforms.
• Knowledge of data pipelines, data quality, and governance.
• Treasury Payments and Deposits domain knowledge is a plus.

Responsibilities

• Assembles large, complex data sets meeting functional and non-functional requirements.
• Maintains, cleans, and manipulates large data for operational and analytics systems.
• Defines and builds data pipelines and collaborates with teams to ensure feasibility.
• Mentor development teams and ensure robust, well-tested interfaces.

Skills

Data engineering

Spark/Scala

Kafka

Hadoop

Cloud technologies

Informatica

Data pipelines

Mentoring

Tools

Starburst

Informatica

Hadoop ecosystem

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.

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