Senior Data Engineer

Bank of America•Jersey City, NJ

3d•$128,000 - $182,300•Onsite

About The Position

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! 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.

Requirements

12+ years of experience with Data Engineering
4+ years hands on experience in Scala
4+ years of hands-on experience in Spark
Very good understanding of Hadoop components, architecture & tool sets
Spark and Scala
Informatica
Starburst
Object Storage
Must have Architected, developed & implemented solutions using real time streaming technologies (Spark Streaming/Kafka)
Good knowledge of spark configurations and Spark/Scala performance tuning
Strong working knowledge on Hadoop, Hive, Impala, Oozie
Experience working with Exadata & Oracle SQL Tuning
Experience working with Starburst and Object Storage
Experience developing Streaming/Near Real time and Batch data integration solutions.
Hands on experience in UNIX Shell Scripting
Working experience in scheduling jobs with Autosys
Analytical Thinking
Application Development
Data Management
Risk Management
Solution Design
Agile Practices
Architecture
Collaboration
Decision Making
DevOps Practices
Business Acumen
Data Quality Management
Financial Management
Solution Delivery Process
Test Engineering

Nice To Haves

CICD Build & Deployment tools
API development experience
Financial Services / Banking experience
Experience in distributed computing

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 leads triage of underlying causes
Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes
Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls