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The Data Engineer is accountable for developing high quality data products to support the Bank’s Regulatory and In-Business requirements and data driven decision making. This person will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

Developing and supporting scalable, extensible, and highly available data solutions

Deliver on critical business priorities while ensuring alignment with the wider architectural vision

Identify and help address potential risks in the data supply chain

Follow and contribute to technical standards

Design and develop analytical data models

Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.

Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.

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.

Qualifications:

5-8 years experience implementing data-intensive solutions using agile methodologies.

Experience of modelling data for analytical consumers

Hands on Mantas expert throughout the full development life cycle, including: requirements analysis, functional design, technical design, programming, testing, documentation, implementation, and on-going technical support.

Ability to automate and streamline the build, test and deployment of data pipelines

A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training

Excellent communication and problem-solving skills

Technical Skills (Must Have):

ETL: Hands on experiencing in building data pipelines using Apache Spark.

Big Data: Hands on experience of working on "Big Data" platforms such as Hadoop, Hive or Snowflake for data storage and processing.

Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design

Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures

Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala

DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

Technical Skills (Must Have):

Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls

Containerization: Fair understanding of containerization platforms like Docker, Kubernetes

File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Iceberg

Others: Basics of Job scheduler like Autosys. Basics of Entitlement management

Certification on any of the above topics would be an advantage.

Education:

Bachelor’s/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:

Data Analytics

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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:

$96,400.00 - $144,600.00

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

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Jul 21, 2025

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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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm) ._

_View Citi’s EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy) and the Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) poster._

Citi is an equal opportunity and affirmative action employer.

Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.