Full Stack Java/React Developer - Data Scientist Senior Associate (Consumer & Community Banking)
This role is for a Full Stack Java/React Developer and Data Scientist Senior Associate within Confidential Client's Consumer and Community Banking Operations. The position involves developing and maintaining scalable, secure software solutions using Java, SpringBoot, React, and AWS cloud technologies, while integrating data-driven insights to solve business problems. The role requires collaboration across teams to deliver high-quality features, optimize performance, and contribute to an inclusive and innovative engineering culture.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Artificial Intelligence.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
As a Full Stack Java/React Developer - Data Scientist Senior Associate (Consumer & Community Banking) on behalf of our confidential client, you'll join an agile engineering team building secure, scalable banking data products. You will bridge full‑stack engineering and data-driven insight to deliver production-grade features and tooling.
- Develop and maintain high-quality backend services using Java, Spring Boot and Microservices
- Build modern React micro-frontends and collaborate on UI/UX decisions for performance and accessibility
- Deploy and operate cloud-native applications on AWS (including ECS)
- Design and implement data pipelines, integrations, and tooling that support analytics and operational workflows
- Apply DevOps and CI/CD best practices to streamline build, test, and release (tools may include Jenkins, Spinnaker)
- Collaborate in Agile/Scrum with product owners, designers, QA, and other engineers
- Participate in code reviews, troubleshooting, and production incident resolution to maintain system reliability
- Contribute to team practices, documentation, and communities of practice; help evaluate emerging technologies
- Promote an inclusive team culture and partner effectively with global stakeholders
Qualifications
Required (minimum)
- Formal training or certification in software engineering and 2+ years of applied experience
- Hands-on experience with Java, Spring Boot, Microservices and React frontends
- Experience deploying applications to AWS (experience with ECS preferred)
- Familiarity with CI/CD and DevOps practices (Jenkins, Spinnaker or similar)
- Working knowledge of SQL and Kafka
- Demonstrated ability to work collaboratively on cross-functional teams and communicate clearly
- Experience working in Agile/Scrum environments and contributing to user stories and requirements
Compensation (visible per source)
- Base salary: $120,000 - $180,000 USD per year
Work location
- San Antonio, TX (work location for this posting)
Employment type
- Full-time
Preferred Qualifications
- Experience with AWS data engineering services (S3, Glue, Lambda, Aurora/PostgreSQL) and designing ETL/ELT pipelines
- Database and schema design experience in relational databases (Aurora/Postgres)
- Practical experience integrating AI-driven solutions into user interfaces; familiarity with AI/agentic frameworks, prompting, and workflows
- Python experience for data tooling / ML integration
- Knowledge of banking operations and data is a plus
- Ability to engage directly with business stakeholders and translate operational needs into technical solutions
About the Client & Team
This role supports a Consumer & Community Banking data and analytics team focused on delivering analytics, data engineering, and machine‑learning capabilities that drive business outcomes. The confidential client values diversity, inclusion, and collaboration across technology and business partners.
Benefits and rewards
- Competitive total rewards package (base salary shown above). Additional compensation and benefit eligibility depend on role, experience, and location and will be described during the hiring process.
- Typical benefits may include healthcare, retirement savings, paid time off, learning resources, and other programs (details provided by the client).
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
Negotiate a higher salary! Check the salary ranges for this job type in your area.
View My Salary Range