{"schemaVersion":"jobsearcher.job.v1","id":"2c00b1a61753bf6fabd676c4","url":"https://jobsearcher.com/jobs/2c00b1a61753bf6fabd676c4","canonicalUrl":"https://jobsearcher.com/jobs/2c00b1a61753bf6fabd676c4","title":"Senior Python Engineer - Applications Development Sr Programmer Analyst - C12 - RUTHERFORD","description":"Overview\nAs Principal Engineer, you will design, build, and maintain scalable data pipelines and AI-enabled data platforms within Retail and Wealth Risk Engineering. You will shape the Enterprise Risk Technology stack and drive adoption of cutting-edge AI, big data, and data federation across the organization. The role emphasizes delivering high-volume ELT/ETL processes, microservice integrations, and governance for data quality and security. You will collaborate with cross-functional teams to advance risk analytics, automation, and decision support, while upholding compliance and risk controls. This is a high-impact opportunity to help Citi scale data-driven risk insights and AI-enabled workflows.\n\nCompensation / Benefitsmedical, dental & vision coverage401(k)life, accident, and disability insurancewellness programspaid time offpaid holidays\nResponsibilitiesDesign, develop, and maintain scalable AI-enabled data pipelines and ELT/ETL processes using Python, PySpark, Kafka, and Databricks ecosystemBuild and deploy GEN AI agents with Google ADK and LLMs to automate applications and provide deep insights with human-in-the-loop workflowsDevelop data federation layers for lambda and Data Mesh architectures (e.g., Starburst) and define AI-driven use-case strategiesImplement and automate microservice integrations to support data-intensive applications on cloud-native infrastructure (OpenShift/Kubernetes) with CI/CDLeverage agentic AI tools and platforms (e.g., Devin.AI, Github Copilot, MCP) through advanced prompt engineering to boost development/ops efficiencyEnsure data quality, integrity, and security across the data lifecycleContribute to data engineering standards and best practices, and support risk-aware decision-making and complianceAssess risk in business decisions and escalate control issues while safeguarding Citi, clients, and assets\nKey requirements8+ years in large-scale application development with recent experience deploying AI agents in production5+ years leading Python and PySpark engineering for enterprise-grade ELT/ETL in Databricks ecosystemHands-on experience with agentic AI development and integrations (YAML/JSON, FAST API or Spring Boot, Google ADK, LLM integrations)Experience automating microservice integrations for data-intensive appsProficiency in Python or Scala and strong SQL with relational databasesDeep understanding of data modeling, data warehousing, Data Mesh, and data federationExcellent communication and collaboration skillsstrong communicationproblem-solvingcollaborationPythonPySparkDatabricks","company":"CitiGroup","rawCompany":"citigroup","city":"Hackensack","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-09-15T05:05:55.468Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Python Engineer - Applications Development Sr Programmer Analyst - C12 - RUTHERFORD","description":"Overview\nAs Principal Engineer, you will design, build, and maintain scalable data pipelines and AI-enabled data platforms within Retail and Wealth Risk Engineering. You will shape the Enterprise Risk Technology stack and drive adoption of cutting-edge AI, big data, and data federation across the organization. The role emphasizes delivering high-volume ELT/ETL processes, microservice integrations, and governance for data quality and security. You will collaborate with cross-functional teams to advance risk analytics, automation, and decision support, while upholding compliance and risk controls. This is a high-impact opportunity to help Citi scale data-driven risk insights and AI-enabled workflows.\n\nCompensation / Benefitsmedical, dental & vision coverage401(k)life, accident, and disability insurancewellness programspaid time offpaid holidays\nResponsibilitiesDesign, develop, and maintain scalable AI-enabled data pipelines and ELT/ETL processes using Python, PySpark, Kafka, and Databricks ecosystemBuild and deploy GEN AI agents with Google ADK and LLMs to automate applications and provide deep insights with human-in-the-loop workflowsDevelop data federation layers for lambda and Data Mesh architectures (e.g., Starburst) and define AI-driven use-case strategiesImplement and automate microservice integrations to support data-intensive applications on cloud-native infrastructure (OpenShift/Kubernetes) with CI/CDLeverage agentic AI tools and platforms (e.g., Devin.AI, Github Copilot, MCP) through advanced prompt engineering to boost development/ops efficiencyEnsure data quality, integrity, and security across the data lifecycleContribute to data engineering standards and best practices, and support risk-aware decision-making and complianceAssess risk in business decisions and escalate control issues while safeguarding Citi, clients, and assets\nKey requirements8+ years in large-scale application development with recent experience deploying AI agents in production5+ years leading Python and PySpark engineering for enterprise-grade ELT/ETL in Databricks ecosystemHands-on experience with agentic AI development and integrations (YAML/JSON, FAST API or Spring Boot, Google ADK, LLM integrations)Experience automating microservice integrations for data-intensive appsProficiency in Python or Scala and strong SQL with relational databasesDeep understanding of data modeling, data warehousing, Data Mesh, and data federationExcellent communication and collaboration skillsstrong communicationproblem-solvingcollaborationPythonPySparkDatabricks","datePosted":"2026-09-15T05:05:55.468Z","dateModified":"2026-09-15T05:05:55.468Z","hiringOrganization":{"@type":"Organization","name":"CitiGroup","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hackensack","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2c00b1a61753bf6fabd676c4"},"url":"https://jobsearcher.com/jobs/2c00b1a61753bf6fabd676c4"}}