We are looking for a hands-on Senior Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Senior Data Engineer, you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to share your technical expertise and promote a culture of technical excellence within the team. The Senior Data Engineer will work with a Team Lead and will be a code-contributing member of the team that will deliver solutions against the sprint-level commitments.

Responsibilities
•   Code contributing member of an Agile team, working to deliver sprint goals.
•   Demonstrating technical knowledge and expertise in software development, including programming languages, frameworks, and best practices.
•   Actively contributes to the implementation of features and technical solutions. Write clean, efficient, and maintainable code that meets the highest standards of quality.
•   Collaborate with other Engineers to define and evolve the overall system architecture and design.
•   Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices.
•   Offer expert engineering guidance and support to multiple teams, helping them overcome technical challenges, make informed decisions, and deliver high-quality software solutions. Foster a culture of technical excellence and continuous improvement.
•   Stay up to date with emerging technologies, tools, and industry trends. Evaluate their potential impact on the organization and provide recommendations for technology adoption and innovation.

Required Qualifications

•   Strong experience with PySpark, Hive HQL, and Data Warehousing.
•   5+ years’ experience of implementing data-intensive solutions using agile methodologies.
•   Proficient in one or more programming languages commonly used in data engineering such as Python, Java, or Scala.
•   10 years of overall experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.)
•   Multiple years of experience with Hadoop for data storage and processing is valuable, as is exposure to modern data platforms such as Snowflake and Databricks.
•   Multiple years of experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).
•   Multiple years of experience with open-source data engineering tools and frameworks (e.g., Spark, Kafka, Beam, Flink, Trino, Airflow, DBT)
•   Exposure to a range of table and file formats including Iceberg, Hive, Avro, Parquet, and JSON
•   Multiple years of experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications
•   Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation.
•   Clear understanding of Data Structures and Object-Oriented Principles.
•   Experience of modelling data for analytical consumers
•   Ability to automate and streamline the build, test, and deployment of data pipelines.
•   Proven experience of providing technical vision and guidance to a data team.
•   Thrives in a dynamic environment, capable of managing multiple tasks simultaneously while maintaining a high standard of work.
•   Banking and Finance Industry is required. Strong expertise in Anti-Money laundering is key.

Preferred Qualifications
•   Experience with Data Transformation tools like Ab Initio a plus. Appreciation of data parallelism associated partitioning strategies and an understanding of key components in the GDE is particularly relevant.
•   Experience in cloud native technologies and patterns (AWS, Google Cloud)
•   Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.)
•   Experience of driving and/or influencing the data strategy of your team or organization

Bachelors Degree in Information Technology, Electronics and Telecommunication, or Computer Science

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Job Family Group:

Technology

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Job Family:

Digital Software Engineering

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Time Type:

Full time

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Primary Location:

Tampa Florida United States

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Primary Location Full Time Salary Range:

$125,600.00 - $188,400.00

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.

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Anticipated Posting Close Date:

May 05, 2025

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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.

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