Senior Full Stack Java Engineer – Data Streaming

Charles Schwab Inc.•Southlake, TX

2d•$135,000 - $160,000•Onsite

About The Position

Based in Southlake, Texas, the Senior Full Stack Java Engineer will join Schwab’s Data Exchange team to build resilient enterprise solutions that support the reliable, timely movement of operational data across the firm. As a senior individual contributor, the engineer will design, develop, test, and operate scalable applications, APIs, microservices, streaming pipelines, and batch-processing solutions using Java, Spring Boot, and cloud-native technologies. The role owns work from solution design through production, applying problem-solving and sound technical decision-making to improve throughput, latency, scalability, and reliability. The engineer works across engineering, platform, quality assurance, production support, and business teams to translate complex needs into maintainable solutions, define data and integration patterns, and communicate technical choices and trade-offs. The position is on site in the specified location(s). The role is eligible for bonus or incentive opportunities in addition to the salary range.

Requirements

7+ years of hands-on software engineering experience, including strong Java development skills and experience with Spring or Spring Boot.
Experience developing user-interface components with Angular; React experience is also considered.
3+ years of public-cloud engineering experience building and deploying production applications and services.
Experience designing and developing REST APIs, microservices, and distributed applications.
Experience building production-grade batch-processing or data-ingestion solutions using Spring Batch or comparable frameworks.
Experience developing event-driven or streaming solutions with Kafka, Pub/Sub, Kinesis, RabbitMQ, or comparable technologies.
Experience with cloud-native services, including cloud compute, storage, and network services.
Strong SQL and relational database skills, including troubleshooting and performance-tuning complex queries and data-processing workloads.
Ability to apply automated testing, observability, resiliency, code-quality, and production-readiness practices throughout the software development lifecycle.
Experience with Linux, shell scripting, source control, and CI/CD tools.
Demonstrated problem-solving skills and ownership in diagnosing complex application, infrastructure, database, and integration issues.
Strong communication and cross-functional collaboration skills, including the ability to explain technical decisions, risks, and trade-offs to varied audiences.
Bachelor’s degree in Information Technology, Computer Science, or a related degree, or related practical experience.

Nice To Haves

Experience designing or operating high-volume operational data stores, enterprise data exchanges, integration platforms, or similar data platforms.
Experience with data modeling, schema design, data contracts, schema evolution, data quality, lifecycle management, or performance optimization.
Knowledge of data warehousing and enterprise data architecture.
Experience with Informatica or comparable enterprise data-integration platforms.
Experience applying monitoring, logging, alerting, distributed tracing, capacity-planning, and performance-analysis practices.
Experience providing technical leadership, reviewing designs and code, sharing knowledge, or mentoring engineers while remaining hands-on.

Responsibilities

Design, develop, test, and operate scalable applications, APIs, microservices, streaming pipelines, and batch-processing solutions.
Take ownership of solutions from design through production.
Improve system throughput, latency, scalability, and reliability.
Work with engineering, platform, quality assurance, production support, and business teams to translate complex needs into maintainable solutions.
Define effective data and integration patterns.
Communicate technical choices, risks, and trade-offs to varied audiences.