Overview
On Site
USD 96,400.00 - 144,600.00 per year
Full Time
Skills
Accountability
Decision-making
Data Architecture
Business Intelligence
Leadership
Coaching
Supply Chain Management
Microsoft Exchange
Regulatory Compliance
Reporting
Agile
Modeling
Analytical Skill
MANTAS
Requirements Analysis
Functional Design
Technical Drafting
Testing
Documentation
Technical Support
Training
Communication
Problem Solving
Conflict Resolution
Extract
Transform
Load
Apache Spark
Big Data
Apache Hadoop
Apache Hive
Snow Flake Schema
Data Storage
Database Administration
Data Warehouse
Oracle
MySQL
NoSQL
MongoDB
Amazon DynamoDB
Database Design
Data Modeling
Design Optimization
Data Structure
Programming Languages
Data Engineering
Python
Java
Scala
DevOps
Continuous Integration
Continuous Delivery
Version Control
Quality Control
Data Quality
Data Validation
Docker
Kubernetes
File Formats
Apache Avro
Apache Parquet
CA Workload Automation AE
Management
Data Analysis
Insurance
Law
Accessibility
Job Details
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.
Job Family Group:
Technology
Job Family:
Data Analytics
Time Type:
Full time
Primary Location:
Irving Texas United States
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.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jul 04, 2025
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.
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.
Job Family Group:
Technology
Job Family:
Data Analytics
Time Type:
Full time
Primary Location:
Irving Texas United States
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.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jul 04, 2025
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.