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Senior Python Engineer - Applications Development Sr Programmer Analyst - C12 - RUTHERFORD

Job in Rutherford, Bergen County, New Jersey, 07070, USA
Listing for: Citigroup Inc.
Full Time position
Listed on 2026-07-04
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 121200 - 181800 USD Yearly USD 121200.00 181800.00 YEAR
Job Description & How to Apply Below

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 modern data hosting 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 AI agents, supporting ELT/ETL processes to handle large data volumes using Python, FAST API, microservices, PySpark, Kafka and the Databricks ecosystem.
  • Build and Deploy GEN AI Agents using Google’s ADK and Google Flash 2.5+ LLMs to support application automation and deep insights, workflow support with a Human‑in‑Loop architecture.
  • 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 (eg: machine learning, deep learning, NLP) to drive efficiency.
  • Develop, deploy, and automate microservice integrations to support data‑intensive applications, ensuring scalability, resilience, and maintainability using cloud‑native infrastructure and containers or Kubernetes architecture including CI/CD pipelines.
  • Integrate and leverage agentic AI tools (eg: Devin.AI, Git Hub Copilot) and platforms (eg: MCP) through advanced prompt engineering to enhance development and operational efficiency.
  • Ensure data quality, integrity, and security throughout the entire data lifecycle.
  • Contribute to 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 Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Adhere to policy, apply sound ethical judgment, and manage and report control issues with transparency.
Qualifications Required
  • 8+ years of overall experience in large‑scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts.
  • Minimum of 5+ years of proven experience in a Python and PySpark Engineering lead role focused on building enterprise‑grade, high‑volume ELT/ETL processes using the PySpark and Databricks ecosystem.
  • Hands‑on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM integrations, including Devin.

    AI or Git Hub 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 analytics, engineering, such as Python 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 (eg: 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 (eg: Docker, Kubernetes).
  • Experience in data engineering within the banking retail products domain (eg: Cards, Mortgage, Deposits, Wealth Management).
  • Relevant industry certifications (eg: 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.
Benefits

In addition to salary, Citi offers competitive employee benefits, including medical, dental, and vision coverage; 401(k); life,…

Position Requirements
10+ Years work experience
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