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Sr. Data Engineer - Assistant Vice President

https://www.citi.com/ Logo

Citi

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Location:
United States , Irving

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

107120.00 - 160680.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • Design, develop, and maintain scalable and efficient data pipelines using Big Data technologies (e.g., Hadoop, Spark, Kafka, Hive, Parquet, Avro) to ingest, process, and transform large volumes of structured and unstructured data.
  • Implement and optimize ETL/ELT processes for data ingestion, cleansing, transformation, and loading into data warehouses, data lakes, and other data stores.
  • Integrates subject matter and industry expertise within a defined area.
  • Applies in-depth understanding of how data engineering and analytics collectively integrate within the sub-function as well as coordinates and contributes to the objectives of the entire function.
  • Build and maintain data pipelines outcomes as data federations layers for lambda and Data Mesh architecture using tools like Starburst with strategy for adopting AI techniques-based use cases to drive efficiency and reduce data copies (e.g., machine learning, deep learning, natural language processing) to extract insights, automate processes, and enhance decision-making.
  • Develop and deploy microservices-based architectures to support data-intensive applications and ensure scalability, resilience, and maintainability.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Contribute to the continuous improvement of data engineering processes, standards, and best practices.
  • Effectively communicate technical concepts and solutions to both technical and non-technical audiences.
  • 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
  • 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

Requirements:

  • 8+ years overall experience in a Big Data or Enterprise large scale Apps development using scalable tools like Databricks, Scala, Java and python ecosystem.
  • Minimum 5+ years of proven experience in a Data Engineering lead role with a strong focus on Big Data, data federation and data extractions data mesh architecture
  • Deep understanding of data modeling, data warehousing concepts, methodologies, and best practices.
  • Expertise in designing, building, and maintaining data pipelines using Big Data technologies such as Hadoop, Spark, Hive, Kafka, and related ecosystems.
  • Proficiency in at least one programming language commonly used for data engineering, such as Python, Java, or Scala.
  • Hands-on experience with ETL/ELT tools and Microservices frameworks.
  • Practical experience in applying AI/ML techniques to solve real-world problems.
  • Familiarity with microservices architecture and containerization technologies (e.g., Docker, Kubernetes).
  • Strong SQL skills and experience with relational databases.
  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to work independently and as part of a team.
  • Passion for data and technology with a strong desire to learn and grow.
  • Experience in systems analysis and programming of software applications
  • Experience in managing and implementing successful projects
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
  • Bachelor's degree in computer science & engineering, or a related field.

Nice to have:

  • Experience with cloud-based Big Data platforms (e.g., Cloudera, Databricks, AWS, Azure, GCP).
  • Experience in working on data engineering on Bank Retail products – Cards, Mortgage, Deposits and wealth domain exposure
  • Certifications in relevant technologies (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate).
  • Contributions to open-source projects or participation in data engineering communities.
  • Master's degree.
What we offer:
  • discretionary and formulaic incentive and retention awards
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • planned time off (vacation)
  • unplanned time off (sick leave)
  • paid holidays

Additional Information:

Job Posted:
May 20, 2026

Expiration:
May 26, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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