Senior Java Engineer - Assistant Vice President-

Citi • Rutherford, NJ

5d • $121,200 - $181,800 • Onsite

About The Position

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 is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting-edge Big Data, Databrick and AI technologies. The ideal candidate is a high-impact individual with a passion for data, analytics, and problem-solving. You will play a key role in driving business engagement and growth by building the next generation of data and analytics platforms.

Requirements

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

Nice To Haves

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

Responsibilities

• Design, develop, and maintain scalable, enterprise-grade ELT/ETL processes to handle large data volumes using the Spark and Databricks ecosystem.
• 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 like Starburst, with a strategy for adopting AI-based use cases (e.g., 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 (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency.
• Ensure data quality, integrity, and security throughout the entire data lifecycle.
• Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team.
• Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by driving compliance with applicable laws, rules, and regulations.
• Adhere to Policy, apply sound ethical judgment, and escalate, manage, and report control issues with transparency.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior