Citigroup, Inc

Senior Java Engineer - Assistant Vice President-

Citigroup, Inc$121K — $181K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in large-scale application development.
  • 5+ years in a Data Engineering lead role focused on ELT/ETL using Spark and Databricks.
  • Hands-on with agentic AI development tools like Devin.AI or Github Copilot.
  • Experience in developing and automating microservice integrations for data-intensive applications.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong SQL skills with experience in relational databases.
  • Deep understanding of data modeling, data warehousing, and Data Mesh architecture.

Responsibilities

  • Design and maintain scalable ELT/ETL processes using Spark and Databricks.
  • Implement data pipelines for ingestion and transformation into data stores.
  • Build data federation layers for lambda and Data Mesh architectures.
  • Develop and automate microservice integrations to support applications.
  • Integrate AI tools through advanced prompt engineering to enhance development efficiency.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Contribute to process improvement and compliance with regulations.

Benefits

  • Medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Life, accident, and disability insurance.
  • Wellness programs.
  • Paid time off including vacation and sick leave.
Full Job Description
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, 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.

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.


Qualifications

Required:
  • 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:
  • 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.


Job Family Group:
Technology

Job Family:
Applications Development

Time Type:
Full time

Primary Location:
Rutherford New Jersey United States

Primary Location Full Time Salary Range:
$121 200,00 - $181 800,00

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.

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:
may 28, 2026

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ

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