Senior Java Engineer — Spark, Databricks & AI Data Architect

Senior Java Engineer - Assistant Vice President-

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Job Req :

Location(s):

Rutherford, New Jersey, United States

Job Type:

Hybrid

Posted:

May. 21, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

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.

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