Senior Java Big Data Developer

Citigroup Inc.; Tampa (FL); On-site; USD 114,000 - 171,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k) plan

Paid time off

Job summary

Citigroup Inc. in Tampa, FL is seeking a Senior JAVA Big Data Developer to design, build, and scale high-performance data platforms powering critical decisions. You will lead development of complex data engineering solutions using Java, Confluent Kafka, Flink, and modern big data technologies.

You will design scalable pipelines, mentor engineers, and ensure regulatory and governance compliance while delivering production-grade systems across Citi's data ecosystem.

Qualifications

• 6+ years of hands-on experience in software or application development with a focus on big data engineering or distributed systems.
• Deep expertise in Java development with production-grade data applications.
• Hands-on experience with Confluent Kafka and Apache Flink (or Spark Streaming) for real-time data processing.
• Experience deploying in Kubernetes (K8s) and enterprise container platforms such as ECS or Red Hat OpenShift.
• Strong understanding of container orchestration, pod lifecycles, networking, and resources.
• Proven ability to lead and deliver complex technical projects from design to production.
• Demonstrated leadership mentoring developers and coordinating delivery across teams.
• Ability to assess risk and ensure solutions meet regulatory, compliance, and data governance requirements.

Responsibilities

• Design scalable big data pipelines and distributed systems using Java and Kafka for real-time processing.
• Architect data solutions aligned with enterprise standards for reliability, performance, and maintainability.
• Deploy and manage containerized workloads on ECS OpenShift and Kubernetes environments.
• Collaborate with engineering and product teams to identify enhancements for new capabilities.
• Define and enforce coding, testing, debugging, and deployment standards across teams.
• Analyze complex processes to deliver practical engineering solutions.
• Mentor mid-level developers and analysts to meet delivery goals.
• Assess technical and business decisions with attention to regulatory and governance requirements.

Skills

Java

Big Data engineering

Kafka

Flink

Kubernetes

OpenShift

Mentoring

Communication

Education

Bachelor’s degree in Computer Science or related

Master’s degree preferred

Tools

Confluent Kafka

Apache Flink

OpenShift Container Platform

Job description

Citi is looking for aSenior JAVA Big Data Developerto design, build, and scale high-performance data platforms that power critical business decisions across our global financial institution. In this senior-level role, you will lead the development of complex data engineering solutions, working closely with cross-functional technology teams to deliver robust systems built on Java, Confluent Kafka, Apache Flink, and modern big data technologies. Your work will directly shape how Citi processes and operationalizes data at scale — driving measurable impact across products, platforms, and business outcomes.

Key Responsibilities-

• Design and develop scalable big data pipelines and distributed systems using Java and Apache Kafka to support high-volume, real-time data processing.

• Architect and implement data solutions that align with enterprise-wide technology standards, ensuring system reliability, performance, and maintainability.

• Architect, deploy, and manage containerized big data workloads and microservices on Citi's Enterprise Container Solution (ECS) (built on Red Hat OpenShift Container Platform) and native Kubernetes environments.

• Partner with engineering and product teams to identify system enhancements that enable new product capabilities and process improvements.

• Define and enforce development standards across coding, testing, debugging, and deployment to maintain engineering quality across the team.

• Analyze complex business and system processes to resolve high-impact technical challenges, delivering innovative and practical engineering solutions.

• Mentor and guide mid-level developers and analysts, providing technical direction and distributing work to ensure delivery goals are met.

• Evaluate technical and business decisions with a clear understanding of risk, ensuring all solutions meet regulatory, compliance, and data governance requirements.

Required Qualifications & Skills

• Experience:6+ years of hands-on experience in software or application development, with a strong focus on big data engineering, systems analysis, or distributed systems.

• Core Language Expertise:Deep expertise inJavadevelopment, with demonstrable experience building large-scale, production-grade data applications.

• Streaming & Messaging:Practical, hands-on experience withConfluent KafkaandApache Flink(or Apache Spark Streaming) for real-time data streaming and event-driven architectures.

• Containerization & Orchestration:Strong hands-on experience deploying and managing applications inKubernetes (K8s)and enterprise container platforms such asECS (Enterprise Container Solution)or Red Hat OpenShift.

• Infrastructure & Platform Knowledge:Solid understanding of container orchestration concepts, including pod lifecycles, service networking, volume mounts, and resource allocation.

• Project Delivery:Proven ability to lead and deliver complex technical projects from design through to production deployment.

• Leadership:Demonstrated leadership capability, with experience mentoring developers and coordinating technical delivery across teams.

• Communication:Clear and effective communication skills, with the ability to translate complex technical concepts for both engineering and non-engineering audiences.

Additional Skills & Qualifications

• Experience in a financial services or enterprise environment.

• Familiarity with cloud-based data platforms and containerized deployment environments.

• Exposure to data governance practices, compliance frameworks, or regulatory technology contexts

Education:

• Bachelor’s degree/University degree in Computer Science, Engineering, or a related technical discipline

• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Tampa Florida United States

Primary Location Full Time Salary Range:

$113,840.00 - $170,760.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages
• planned time off (vacation)
• unplanned time off (sick leave)
• paid holidays

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Sep 06, 2026

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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