Senior Real-Time Data Platform Engineer

Quest Oracle Community; Jersey City, Northern (NJ, KY); Hybrid; USD 104,000 - 158,000; Full time

Job summary

Bank of America is seeking a Senior Data Streaming Engineer in Jersey City, NY area to design and deliver a modern real-time data platform for Infrastructure and ITSM domains. The role focuses on scalable, low-latency pipelines with event-driven architecture.

You will modernize legacy batch systems into streaming-first architectures, work with Flink, Kafka, and Iceberg, and collaborate with stakeholders to enable real-time analytics and data governance.

Qualifications

• 10+ years IT experience focusing on data engineering.
• 5+ years in data warehousing, data lakes, or MDM systems.
• Expertise with Apache Flink, Confluent Kafka, and Apache Iceberg.
• Proficiency in Python, PySpark, or Java/Scala for data engineering.
• Strong SQL skills and data modeling for streaming and lakehouse systems.

Responsibilities

• Leads story refinement and delivery of requirements through the delivery lifecycle and assists team members in resolving technical complexities.
• Codes complex solutions to integrate, clean, transform, and control data, builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, assembles complex data sets, and communicates required information for deployment.
• Leads documentation of system requirements, collaborates with development teams to understand data requirements and feasibility, and leverages architectural components to develop client requirements.
• Leads testing teams to develop test plans, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and leads triage of underlying causes.
• Leads work efforts with technology partners and stakeholders to close gaps in data management standards adherence, negotiates paths forward by thinking outside the box to identify and communicate solutions to complex problems, and leverages knowledge of information systems, techniques, and processes.
• Leads complex information technology projects to ensure on-time delivery and adherence to release processes and risk management and defines and builds data pipelines to enable data-informed decision making.
• Supports CI/CD, deployment, and operational monitoring of streaming pipelines.

Skills

Analytical Thinking

Application Development

Data Management

DevOps Practices

Solution Design

Agile Practices

Collaboration

Decision Making

Risk Management

Test Engineering

Architecture

Data Quality Management

Other

Tools

Apache Flink

Confluent Kafka

Apache Iceberg

Python

PySpark

Java/Scala

SQL

Hadoop (Spark/Hive/HDFS)

Job description

Bank of America is seeking a Senior Data Streaming Engineer in Jersey City, NY area to design and deliver a modern real-time data platform for Infrastructure and ITSM domains. The role focuses on scalable, low-latency pipelines with event-driven architecture.

You will modernize legacy batch systems into streaming-first architectures, work with Flink, Kafka, and Iceberg, and collaborate with stakeholders to enable real-time analytics and data governance.