Lead Real-Time Data Streaming Engineer

Quest Oracle Community; Plano (TX); On-site; USD 104,000 - 158,000; Full time

Benefits offered by this job

Health benefits

Discretionary bonus

Job summary

Bank of America is seeking a Senior Data Streaming Engineer to design and deliver a modern, real-time data platform supporting Infrastructure and ITSM domains. You will build scalable, low-latency data pipelines using event-driven architecture and stream processing technologies, while evolving legacy batch-oriented systems into a streaming-first ecosystem.

The candidate will have deep expertise with Apache Flink, Confluent Kafka, and Iceberg, and will help modernize data integration patterns,

Qualifications

• 10+ years IT experience with strong focus on data engineering.
• 5+ years in data warehousing, data lakes, or MDM systems.
• Strong experience with: Apache Flink (stream processing, event time, windowing, stateful processing)
• Proficiency with: Python, PySpark, or Java/Scala for data engineering
• SQL (advanced querying and optimization)
• Experience designing event-driven and streaming architectures
• Deep understanding of data modeling for streaming and lakehouse systems
• Experience working with Kafka-based ingestion patterns and CDC frameworks

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
• Mentors Data Engineers to enable continuous development and monitors key performance indicators and internal controls
• Design and implement real-time data pipelines using Apache Flink and Confluent Kafka
• Transform legacy batch and RDBMS-based data workflows into event-driven streaming architectures
• Build and optimize streaming ingestion, transformation, and enrichment pipelines
• Develop and maintain Iceberg-based data lakehouse tables to support both streaming and analytical workloads
• Ensure data quality, reconciliation, and consistency across streaming and batch systems
• Optimize performance of streaming jobs, including state management, checkpointing, and scalability
• Design efficient partitioning, schema evolution, and storage strategies using Iceberg
• Integrate data across multiple systems including ITSM platforms (e.g., ServiceNow)
• Collaborate with architecture and platform teams to establish best practices for streaming data frameworks
• Support CI/CD, deployment, and operational monitoring of streaming pipelines

Skills

Data engineering

Streaming data

Python

PySpark

Java/Scala

SQL optimization

Cloud data platforms

CI/CD

Mentoring

Communication

Tools

Apache Flink

Confluent Kafka

Apache Iceberg

Job description

Bank of America is seeking a Senior Data Streaming Engineer to design and deliver a modern, real-time data platform supporting Infrastructure and ITSM domains. You will build scalable, low-latency data pipelines using event-driven architecture and stream processing technologies, while evolving legacy batch-oriented systems into a streaming-first ecosystem.

The candidate will have deep expertise with Apache Flink, Confluent Kafka, and Iceberg, and will help modernize data integration patterns,