Lead Data Engineer Job at Citi (Irving)

Lead Data Engineer

Citi

Location:
United States , Irving

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

96400.00 - 144600.00 USD / Year

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Job Description:

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. 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. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Job Responsibility:

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows
Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function
Assumes informal/formal leadership role through coaching and training of new recruits
Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Impacts the business directly by ensuring the quality of work provided by self and others
impacts own team and closely related work teams
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

Requirements:

ETL: 5+ years of Hands on experiencing in building data pipelines using Apache Spark
Hands on experience of working on "Big Data" platforms such as Hadoop, Hive or Snowflake for data storage and processing
Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design
Good exposure to data modeling techniques
design, optimization and maintenance of data models and data structures
Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala
Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management
Bachelor’s/University degree or equivalent experience

Nice to have:

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

What we offer:

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:
January 13, 2026

Expiration:
January 16, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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