Sr. Data Engineer - Assistant Vice President

Citi; Irving (TX); On-site; USD 107,120 - 160,680; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k) plan

Paid time off

Wellness programs

Job summary

Citi is seeking a seasoned data engineer for a role based in Irving, Texas. The candidate will design and maintain scalable data pipelines, implement ETL processes, and ensure data quality using Big Data technologies such as Hadoop and Spark.

Must have extensive experience in data engineering leadership, programming in Python or Java, and familiarity with microservices architectures. Competitive benefits and a salary range of $107,120 - $160,680 are offered.

Qualifications

• 8+ years experience in Big Data or Enterprise applications development.
• 5+ years in a Data Engineering lead role, focusing on Big Data.
• Deep understanding of data modeling and data warehousing concepts.
• Expertise in building data pipelines using Big Data technologies.
• Strong SQL skills and experience with relational databases.

Responsibilities

• Design and maintain scalable data pipelines using Big Data technologies.
• Implement and optimize ETL/ELT processes for data ingestion.
• Develop microservices architectures for data applications.
• Ensure data quality, integrity, and security.
• Communicate technical solutions effectively to diverse audiences.

Skills

Big Data technologies

Data engineering

Python

Scala

Java

ETL/ELT tools

SQL

Microservices

AI/ML techniques

Education

Bachelor’s degree in computer science & engineering

Master's degree

Tools

Hadoop

Spark

Kafka

Docker

Kubernetes

Job description

Responsibilities

• 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.
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• 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

• 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.

Education

• Bachelor’s degree in computer science & engineering, or a related field.
• Master's degree is a plus.

Preferred Qualifications

• 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.

This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required.

Salary and Benefits

Primary Location: Irving, Texas, United States.
Full Time Salary Range: $107,120.00 - $160,680.00.

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.

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.