Senior Data Engineer - C13 - IRVING

Excited to grow your career?

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position, you see is right for you, we encourage you to apply!

Our people make all the difference in our success.

About Citi:

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and, in our clients’, best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

WHAT WE ARE LOOKING FOR:

We are seeking a highly motivated and experienced  Apps Dev Tech Lead Analyst - Senior Data Engineer  to join our Data Engineering/Consumer Data Platform team. In this role, you will be a key player in designing, building, and maintaining robust and scalable data pipelines and solutions that leverage cutting-edge Big Data technologies, including AI and NLP.

The ideal candidate is a high-impact individual with a passion for data and analytics. You are a problem-solver at heart, with a proven ability to collaborate across teams and drive innovative solutions. You are passionate about using data to drive customer engagement and growth. This role demands a deep understanding of data engineering principles, experience with distributed systems, and a passion for applying AI and NLP techniques to solve real-world business challenges. You will be responsible for the volume, quality, timeliness, and delivery of end results, and may also be involved in planning, budgeting, and policy formulation within your area of expertise. This role does few of management position, with responsibilities including performance evaluations, hiring and respective duties.

  Do you have what it takes to join our team? We are looking for candidates who share our passion for tackling complex data challenges head-on and are driven to build the next generation of data and analytics platforms.

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 and NLP 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.

• Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements, design appropriate solutions, and deliver value-added insights.

• Mentor and guide junior team members, fostering a culture of knowledge sharing and technical excellence.

• 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.

Qualifications:

• Minimum 6+ years overall experience in a Big Data or Enterprise large scale Apps development using scalable tools like Data bricks, Scala, Java and python ecosystem.

• Minimum 3+ 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 and NLP 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.

• Experience with NoSQL databases is a plus.

• 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.

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., 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.

• Demonstrated leadership and project management skills

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:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Primary Location:

Irving Texas United States

------------------------------------------------------

Primary Location Full Time Salary Range:

$125,760.00 - $188,640.00

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.

------------------------------------------------------

Anticipated Posting Close Date:

Apr 21, 2025

------------------------------------------------------

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 .

View the " EEO is the Law " poster. View the EEO is the Law Supplement .

View the EEO Policy Statement .

View the Pay Transparency Posting