Developer focused on data lineage to build systems that parse and analyze large, multi-language codebases and automatically generate accurate data lineage. The role pairs strong Python engineering with hands-on Gen AI/LLM work and ownership of build, deployment, and delivery pipelines. The emphasis is on clean, efficient, well-architected design — systems that are correct, performant, and maintainable as they scale.
What You'll Do
- Design and build engines that parse multiple programming and query languages to extract accurate, column-level data lineage.
- Build Gen AI/LLM-powered retrieval and assistant capabilities on top of lineage and metadata.
- Develop backend services and the interfaces that expose them, from data processing through to user-facing views.
- Own the delivery pipeline — build, test, deployment, and production support across environments.
Required Skills
- Strong Python development with solid object-oriented and functional design skills.
- Software engineering fundamentals: data structures, algorithms, and complexity analysis.
- Data lineage / data flow analysis: parsing and analyzing source code (AST-based and pattern-based static analysis) and comfort reading multiple languages.
- Hands-on Gen AI/LLM experience: prompt design, tool/function calling, and agent orchestration.
- Understanding of retrieval-augmented generation and vector/semantic search concepts.
- Experience designing APIs and backend services, plus the front-end fundamentals to build usable interfaces.
- Pipeline and deployment experience: build/test automation, CI/CD, and releasing across environments.
- Data manipulation and transformation skills.
Nice to Have
- Graph algorithms and traversal techniques for dependency/lineage tracing.
- Data governance, metadata management, and data cataloging concepts.
- Experience designing systems for long-running or asynchronous workloads.
- Infrastructure automation and deployment tooling.
Key Responsibilities
- Translate ambiguous requirements into clean, efficient, well-structured designs.
- Extend parsing and analysis capabilities to new languages and frameworks without compromising architecture.
- Design and productionize Gen AI/LLM and retrieval features that are accurate and grounded in real data.
- Build and maintain deployment pipelines; support delivery across environments.
- Write tests and maintain quality across the development lifecycle.
- Collaborate on design reviews and raise the engineering bar for the team.
Recommended Qualifications:
- 7-10 years of relevant experience
- Experience in systems analysis and programming of software applications
- Experience in managing and implementing successful projects
- Working knowledge of consulting/project management techniques/methods
- Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Education:
- Bachelor’s degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Design Principles We Value
- Simplicity first — favor the simplest design that solves the problem; avoid unnecessary complexity and premature abstraction.
- Separation of concerns — clear module boundaries, single-responsibility components, and well-defined interfaces so pieces can evolve independently.
- Correctness and determinism — prefer predictable, testable behavior; ground AI outputs in verifiable data rather than guesswork.
- Performance-aware design — think about time/space complexity, memory footprint, and efficient data structures and algorithms up front.
- Scalability and extensibility — design so new languages, sources, and capabilities can be added without rewrites.
- Robustness — graceful error handling, fault isolation, and defensive design so one bad input can't take the system down.
- Readability and maintainability — code and designs the next engineer can understand, extend, and debug.
- Reuse over duplication — shared models and common abstractions instead of repeated logic.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Primary Location Full Time Salary Range:$94,300.00 - $141,500.00------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Automated Processing and AIWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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This job opening is for an existing job vacancy.
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 7-10 years of relevant experience
- Experience in systems analysis and programming of software applications
- Strong Python development experience
- Object-oriented and functional design skills
- Knowledge of data structures, algorithms, and complexity analysis
- Experience with data lineage or data flow analysis
- Experience parsing and analyzing source code using AST-based or pattern-based static analysis
- Ability to read and analyze multiple programming and query languages
- Hands-on Generative AI and LLM experience, including prompt design, tool or function calling, and agent orchestration
- Understanding of retrieval-augmented generation and vector or semantic search
- Experience designing APIs and backend services
- Front-end fundamentals for building usable interfaces
- Build, test automation, CI/CD, and deployment experience across environments
- Data manipulation and transformation skills
- Bachelor's or university degree, or equivalent experience
- Experience with graph algorithms and traversal techniques
- Knowledge of data governance, metadata management, and data cataloging
- Experience designing long-running or asynchronous workloads
- Experience with infrastructure automation and deployment tooling
- Experience managing and implementing successful projects
- Working knowledge of consulting or project management techniques and methods
- Ability to work under pressure and manage deadlines or unexpected changes
What We Do
Citigroup is a global diversified financial services holding company serving consumers, corporations, governments and institutions. It provides consumer banking and credit, corporate and investment banking, securities brokerage, trade and securities services, and wealth management. Operating across nearly 160 countries and jurisdictions, Citi aims to be a leading partner for institutions with cross-border needs, a global wealth manager, and a valued personal bank in the United States.
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