The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Key Responsibilities:
- Design, develop, test, and maintain data processing applications using Apache Spark.
- Build scalable ETL and data transformation pipelines for large datasets.
- Develop and support applications using Java or Python in a distributed data environment.
- Analyze requirements and collaborate with business analysts, QA teams, and stakeholders to deliver solutions.
- Troubleshoot production issues and optimize application performance.
- Participate in code reviews and follow engineering best practices.
- Contribute to application modernization, migration, and automation initiatives.
- Leverage AI-assisted development tools to improve productivity and quality.
Required Skills:
- 8-10 years of software development experience.
- Strong hands-on experience with Apache Spark.
- Proficiency in either Java or Python.
- Candidates with primary expertise in Python should have a good understanding of Java fundamentals (OOP concepts, collections, exception handling, multithreading basics).
- Experience working with SQL and relational databases.
- Understanding of distributed computing concepts and big data processing.
- Strong analytical, problem-solving, and debugging skills.
Preferred Skills:
- Experience with Databricks (highly desirable).
- Exposure to cloud platforms and modern data engineering practices.
- Experience with CI/CD pipelines, Git, and Agile development methodologies.
- Knowledge of regulatory reporting or financial services domain is a plus.
- Demonstrated ability and willingness to adopt AI-assisted development tools (e.g., GitHub Copilot, Devin, Databricks Assistant, or similar) to improve productivity, code quality, and delivery efficiency.
- Ability to effectively leverage AI-generated recommendations for coding, testing, debugging, documentation, and analysis while maintaining accountability for final deliverables.
- Strong engineering judgment to critically review, validate, and optimize AI-generated code and solutions rather than relying solely on tool outputs.
- Capable of identifying potential functional, performance, security, and maintainability issues in AI-assisted implementations and making appropriate corrections.
- Passion for continuous learning and staying current with emerging AI technologies and software engineering best practices.
Nice to Have:
- Experience with Spark performance tuning.
- Familiarity with data lake architectures.
- Experience leveraging AI tools such as Copilot or similar developer productivity solutions.
This role offers an opportunity to work on large-scale data platforms, modernization initiatives, and business-critical applications while collaborating with global team
We are seeking an Intermediate Big Data Spark Developer to design, develop, enhance, and support large-scale data processing solutions.
The ideal candidate is a strong Spark developer with proficiency in Java or Python, a solid understanding of distributed data processing, and a growth mindset toward adopting modern AI-powered development practices. They should be able to combine the productivity gains offered by AI tools with sound technical judgment, ensuring solutions are accurate, scalable, maintainable, and production-ready.
Key Responsibilities:
- Design, develop, test, and maintain data processing applications using Apache Spark.
- Build scalable ETL and data transformation pipelines for large datasets.
- Develop and support applications using Java or Python in a distributed data environment.
- Analyze requirements and collaborate with business analysts, QA teams, and stakeholders to deliver solutions.
- Troubleshoot production issues and optimize application performance.
- Participate in code reviews and follow engineering best practices.
- Contribute to application modernization, migration, and automation initiatives.
- Leverage AI-assisted development tools to improve productivity and quality.
Required Skills:
- 8-10 years of software development experience.
- Strong hands-on experience with Apache Spark.
- Proficiency in either Java or Python.
- Candidates with primary expertise in Python should have a good understanding of Java fundamentals (OOP concepts, collections, exception handling, multithreading basics).
- Experience working with SQL and relational databases.
- Understanding of distributed computing concepts and big data processing.
- Strong analytical, problem-solving, and debugging skills.
Preferred Skills:
- Experience with Databricks (highly desirable).
- Exposure to cloud platforms and modern data engineering practices.
- Experience with CI/CD pipelines, Git, and Agile development methodologies.
- Knowledge of regulatory reporting or financial services domain is a plus.
- Demonstrated ability and willingness to adopt AI-assisted development tools (e.g., GitHub Copilot, Devin, Databricks Assistant, or similar) to improve productivity, code quality, and delivery efficiency.
- Ability to effectively leverage AI-generated recommendations for coding, testing, debugging, documentation, and analysis while maintaining accountability for final deliverables.
- Strong engineering judgment to critically review, validate, and optimize AI-generated code and solutions rather than relying solely on tool outputs.
- Capable of identifying potential functional, performance, security, and maintainability issues in AI-assisted implementations and making appropriate corrections.
- Passion for continuous learning and staying current with emerging AI technologies and software engineering best practices.
Nice to Have:
- Experience with Spark performance tuning.
- Familiarity with data lake architectures.
- Experience leveraging AI tools such as Copilot or similar developer productivity solutions.
This role offers an opportunity to work on large-scale data platforms, modernization initiatives, and business-critical applications while collaborating with global team
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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
- 8-10 years of software development experience
- Strong hands-on experience with Apache Spark
- Proficiency in Java or Python
- Python-focused candidates must understand Java fundamentals, including object-oriented programming, collections, exception handling, and multithreading basics
- Experience with SQL and relational databases
- Understanding of distributed computing concepts and big data processing
- Strong analytical, problem-solving, and debugging skills
- Experience with Databricks
- Exposure to cloud platforms and modern data engineering practices
- Experience with CI/CD pipelines, Git, and Agile development methodologies
- Knowledge of regulatory reporting or financial services
- Experience with Spark performance tuning
- Familiarity with data lake architectures
- Experience using AI-assisted development tools such as GitHub Copilot or similar solutions
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
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Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
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Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.
Citi Insights
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