> Markdown version of [/jobs/ext/3435069-senior-python-engineer-applications-development-sr-programmer-analyst-c12-rutherford](https://www.wearedevelopers.com/jobs/ext/3435069-senior-python-engineer-applications-development-sr-programmer-analyst-c12-rutherford). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Python Engineer - Applications Development Sr Programmer Analyst - C12 - RUTHERFORD - **Company:** Citi - **Location:** Rutherford, NJ, United States - **Experience:** Expert - **Salary:** $121,200.0 - $181,800.0 - **Contract:** Permanent contract - **Skills:** Adobe Flash, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Database Queries, Information Lifecycle Management, JSON, Python (Programming Language), Machine Learning, Natural Language Processing, Cloudera, Software Engineering, YAML, Google Cloud, Azure Data Factory, GitHub Copilot, ReactJS, Large Language Models, Prompt Engineering, Spring-boot, Deep Learning, Fastapi, Build Management, Containerization, Pyspark, Kubernetes, Information Technology, Data Analytics, Apache Kafka, Front End Software Development, Virtual Agents, Docker, Databricks, Programming Languages, Microservices - **Published:** September 1, 2026 - **Apply:** https://citi.wd5.myworkdayjobs.com/2/job/Rutherford-New-Jersey-United-States/Senior-Python-Engineer---Applications-Development-Sr-Programmer-Analyst---C12---RUTHERFORD_26967165/apply ## About the Role * 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 thePySpark and Databricks ecosystem. * Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, includingDevin.AI or Github Copilot, and integrating models via platforms likeMCPusing advanced prompt engineering. * Proven experience developing andautomating microservice integrationsto support data-intensive applications. * Proficiency in at least one programming language commonly used for data analytics, engineering, such asPython 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 asAngular or React JSfor 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. ## Description We are seeking a highly motivated and experiencedPrincipal Engineerto join ourRetail and Wealth Risk Engineeringteam under theEnterprise Risk Technologyplatform. This is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting-edge Mandatory platform for the secure and scalable deployment of AI agents, 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., * Design, develop, and maintain scalable, enterprise-grade AI agents , supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices , PySpark, Kafka and Databricks ecosystem. * Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - 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 (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 using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines. * 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 Citi, 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [React Developer Salary [2023]](https://www.wearedevelopers.com/magazine/198-react-developer-salary-2023) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)