Position Overview

We are seeking a highly skilled and motivated Senior Data Platform Engineer, AVP (Python/PySpark, Big Data, ETL & Database Developer) to design, build, and maintain robust, scalable, and high-performance data solutions.

The role 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.

Responsibilities:

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision.
Can exercise independence of judgement and autonomy.
Acts as SME to senior stakeholders and /or other team members.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Recommended Qualifications:

5+ years of relevant experience as a data engineer
Data Pipelining & ETL: Expertise in designing and implementing scalable data pipelines using Python/Pyspark, with experience in ETL tools (e.g., Microsoft BI/SSIS, IBM DataStage etc.).
Database Management: Advanced proficiency (3+ years) in RDBMS (T-SQL/PL/SQL) and NoSQL (e.g., MongoDB).
Big Data Platforms: Extensive experience (3+ years) with Hadoop ecosystem technologies (e.g., HDFS, Hive, Pig, Sqoop), preferably Cloudera.
Data Architecture & Modeling: Solid understanding of data warehousing, dimensional modeling, and 3NF to ensure scalable and performant data solutions.
DevOps & Automation: Ability to implement CI/CD pipelines, use Git for version control, and leverage Docker/Kubernetes for containerization.
Code Quality & Standards: Experience contributing to enforcing good coding standards and participating in code reviews to maintain high-quality codebases.
Framework Contribution: Skill in contributing to the enhancement of existing data frameworks and evaluating new technologies for adoption.
Job Orchestration: Proficiency in managing data workflows with enterprise scheduling tools (e.g., Autosys).
Data Connectivity & Visualization: Experience with secure data connectivity tools (e.g., Connect Direct, SSH Tectia) and data visualization platforms (e.g., Tableau).
AI-Driven Development: Capability to utilize AI tools (e.g., Devin) for efficient code refactoring and optimization.
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.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$107,120.00 - $160,680.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

Big Data, ETL Tools, Microsoft SQL Server, Oracle, PySpark, Python (Programming Language).

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Anticipated Posting Close Date:

Jun 13, 2026

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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.

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