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Citi

Senior Data Analytics Developer

Citi

. Design, develop, and maintain data analytics applications and pipelines, primarily using Python and Java where applicable .

Posted 10/13/2026full-timeTampa • Florida • United StatesSenior💰 $113,840 - $170,760 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and maintaining production-grade data systems using Python and Java, with a strong focus on AI-assisted development tools and data quality frameworks. Proven ability to collaborate with quantitative analysts and business stakeholders to translate complex requirements into scalable data solutions.

Highest-signal resume keywords
Python ProgrammingAI-Assisted Development ToolsData Quality FrameworksData Analytics ApplicationsFinancial Data Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringSQLNoSQL Database ManagementBatch Job ManagementData Visualization ToolsData IntegrationData Pipeline DevelopmentRoot Cause AnalysisAutomated WorkflowsProduction-Grade Code Quality
Soft Skills
Excellent Communication SkillsAbility to Work Under PressureStrong Diplomacy SkillsCollaboration with Global TeamsFacilitation of Group Discussions
Tools & Technologies
Trino/StarburstS3KafkaSparkCI/CD PipelinesContainerizationGitHub CopilotDevinClaudeGemfire/Redis
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Relevant Fields
Industry Keywords
BankingFinancial ServicesMarkets Financial DataTrade ProcessingOperational Resilience

Tech Stack

Tools & technologies
JavaKafkaNoSQLPythonRedisSparkSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain data analytics applications and pipelines, primarily using Python and Java where applicable
  • Leverage AI-assisted development tools to accelerate engineering delivery and improve code quality
  • Contribute to AI-powered monitoring agents that improve operational visibility and automate routine production workflows
  • Build and optimize data sourcing integrations across Prime Services and Markets Technology
  • Develop analytics tools and dashboards for business users and quantitative analysts
  • Write production-quality, tested, and maintainable code; participate in code reviews
  • Architect scalable solutions for large volumes of orders, executions, trades, and position data
  • Implement and maintain batch processing jobs and automated workflows
  • Troubleshoot and resolve technical issues across the data platform stack
  • Use Trino/Starburst, S3, Kafka, and Spark to build scalable data solutions
  • Support production processes and batch jobs running during Asia morning hours
  • Coordinate with global teams across the US and UK for handoffs and operational continuity
  • Contribute to monitoring, alerting, incident response, operational resilience, and business continuity
  • Perform root cause analysis and implement permanent fixes
  • Partner with business SMEs and quantitative analysts to understand data and analytics needs
  • Translate complex business requirements into technical specifications and engineering solutions
  • Develop reusable solutions for recurring data needs
  • Support data visualization tools and analytics reporting platforms
  • Ensure data accuracy, completeness, and timeliness
  • Implement and monitor data quality rules, validation frameworks, and remediation processes
  • Maintain metadata and data lineage documentation
  • Adhere to enterprise data standards and regulatory requirements

Requirements

What you’ll need
  • 8–10 years of experience in software engineering, data engineering, or data analytics within Banking or Financial Services
  • Strong hands-on engineering background designing, building, and maintaining production-grade data systems as an individual contributor
  • Experience using modern AI-assisted development and testing tools such as GitHub Copilot, Devin, Claude, or equivalent
  • Hands-on experience building or contributing to AI-powered agents for monitoring, alerting, or workflow automation is strongly preferred
  • Solid business knowledge of Markets financial data, including orders, executions, trade processing, position management, and related trade lifecycle data
  • Experience working directly with quantitative analysts and business stakeholders to translate requirements into technical solutions
  • Experience supporting global production environments, including off-hours batch processing and operational support
  • Strong hands-on proficiency in Python
  • Knowledge of Java is a plus
  • Familiarity with Trino/Starburst, S3, Kafka, and Spark is highly preferred
  • Proficiency with AI-assisted coding and testing tools and practical experience designing and building LLM-powered or agentic operational solutions
  • Solid knowledge of enterprise and open-source data ingestion and distribution frameworks
  • Strong understanding of markets financial data, including P&L, risk, and reference data
  • Experience with Kafka and Gemfire/Redis
  • Proficient in SQL and relational and NoSQL database management systems
  • Experience designing and managing batch jobs, schedulers, and workflow orchestration tools
  • Experience with data quality frameworks, validation techniques, and remediation strategies
  • Familiarity with CI/CD pipelines, containerization, and deployment automation
  • Excellent verbal and written communication skills
  • Ability to work with quantitative analysts and business SMEs to understand complex data requirements
  • Ability to work effectively with diverse, globally distributed teams
  • Ability to work under pressure, facilitate discussions, and contribute constructively to group meetings
  • Strong diplomacy skills
  • Bachelor's/University degree or equivalent experience, preferably in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or a related quantitative field
  • Master's degree or advanced certifications in relevant fields preferred

Benefits

Comp & perks
  • Discretionary and formulaic incentive and retention awards
  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays