Cloud Data Engineer Jobs in North Carolina

INTRODUCTION

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!

ROLE AND RESPONSIBILITIES

This job is responsible for driving efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include leading code design and delivery tasks with the integration, cleaning, transformation and control of data in operational and analytical data systems. Job expectations include liaising with vendors and working with stakeholders and Product and Software Engineering teams to implement data requirements, analyzing performance, and researching and troubleshooting issues within system engineering domains.

• Develop and deliver complex data solutions to accomplish technology and business goals.
• Code, design and deliver of tasks associated with the integration, cleaning, transformation, and control of data in operational and analytics data systems.
• Work with the stakeholders, Product Owners, and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues.
• Perform proficient data engineering practices and have extensive experience of using design and architectural patterns.
• Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.
• Code complex solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria.
• Define and build data pipelines that enable faster, better, data-informed decision-making within the business.
• Contribute to existing test suites (integration, regression, performance), analyzes test reports, identifies any test issues/errors, and triages the underlying cause.
• Remote work may be permitted within a commutable distance from the worksite.

BASIC QUALIFICATIONS

• Master's degree or equivalent in Computer Science, Computer Information System, Information Technology, Management Information Systems, Engineering (any), or related; and
• 3 years of experience in the job offered or a related IT occupation.
• Must include 3 years of experience in each of the following:
• Utilizing Hadoop/Big Data and Scalable Distributed Systems to provide analytical insights using TeraBytes of data;
• Configuring and tuning of Hadoop services including Hive, Spark, HBase, HDFS, Impala, Kafka;
• Developing applications on container orchestration platform like Kubernetes and Docker to build dynamic and scalable applications;
• Designing solutions to deploy scalable machine learning models on big data platform;
• Developing batch and real time data pipelines to ingest data into Data Warehouse; and,
• Using Source Code Version Control systems and Jenkins to provide continuous and efficient delivery of data products.

SHIFT

1st shift (United States of America)

HOURS PER WEEK

40

EMPLOYER: Bank of America N.A.