Senior Java Engineer - Assistant Vice President

Job Summary

We are seeking a highly motivated and experienced Principal Engineer to join our Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This intermediate-level position is responsible for designing, building, and maintaining robust, scalable data pipelines and solutions with Big Data, Databricks, and AI technologies. The ideal candidate will have a passion for data, analytics, and problem‑solving and will help drive business engagement and growth by developing next‑generation data and analytics platforms.

• Design, develop, and maintain scalable, enterprise‑grade ELT/ETL processes using Spark and Databricks.
• Implement and optimize data pipelines for ingestion, cleansing, transformation, and loading into data warehouses, data lakes, and other data stores.
• Build and maintain data federation layers for lambda and Data Mesh architectures using tools such as Starburst, with a strategy for adopting AI‑based use cases (machine learning, deep learning, NLP) to drive efficiency.
• Develop, deploy, and automate microservice integrations to support data‑intensive applications, ensuring scalability, resilience, and maintainability.
• Integrate and leverage agentic AI tools (Devin.
  
  AI, Git Hub Copilot) and platforms (MCP) through advanced prompt engineering to enhance development and operational efficiency.
• Ensure data quality, integrity, and security across the entire data lifecycle.
• Contribute to continuous improvement of data engineering processes, standards, and best practices within the team.
• Assess risk appropriately when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, and ensuring compliance with applicable laws, rules, and regulations.

• 8+ years of overall experience in large‑scale application development.
• 5+ years of proven experience in a Data Engineering lead role focused on building enterprise‑grade, high‑volume ELT/ETL processes using Spark and Databricks.
• Hands‑on experience with agentic AI development (Devin.
  
  AI, Git Hub Copilot) and integrating models via platforms such as MCP using advanced prompt engineering.
• Proven experience developing and automating microservice integrations to support data‑intensive applications.
• Proficiency in at least one programming language used for data engineering (Python, Java, or Scala).
• Strong SQL skills and experience with relational databases.
• Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.
• Excellent communication, collaboration, and problem‑solving skills.

• Experience with cloud‑based Big Data platforms (Cloudera, Databricks, AWS, Azure, GCP).
• Experience with frontend technologies such as Angular or React
  
  JS for data‑driven application interfaces.
• Practical experience applying AI/ML techniques to solve real‑world business problems.
• Familiarity with containerization technologies (Docker, Kubernetes).
• Experience in data engineering within banking retail products (Cards, Mortgage, Deposits, Wealth Management).
• Relevant industry certifications (AWS Certified Big Data – Specialty, Azure Data Engineer Associate).

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Master’s degree is a plus.

• Medical, dental, and vision coverage.
• 401(k) plan.
• Life, accident, and disability insurance.
• Wellness programs.
• Paid time off, vacation, sick leave, and paid holidays.

Primary

Location:

Rutherford, New Jersey, United States.

Citi is an equal‑opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.