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Senior Java Engineer - Assistant Vice President

Job in Rutherford, Bergen County, New Jersey, 07070, USA
Listing for: Citigroup Inc.
Full Time position
Listed on 2026-06-01
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 121200 - 181800 USD Yearly USD 121200.00 181800.00 YEAR
Job Description & How to Apply Below
Position: 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 is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting‑edge Big Data, Databricks 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.

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 elevate, manage, and report control issues with transparency.
Required Qualifications
  • 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.
Preferred Qualifications
  • 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).
Education
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Master’s degree is a plus.

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  Available offerings may vary by jurisdiction, job level, and date of hire.

Primary Location Full Time Salary Range: $121,200 – $181,800

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

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility w Citi’s EEO Policy Statement and the Know Your Rights poster.

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Position Requirements
10+ Years work experience
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