Cloud Data Engineer

Citigroup Inc.; Tampa (FL); On-site; USD 90,000 - 120,000; Full time

Job summary

A global financial services company is seeking a hands-on Data Engineer in Tampa, Florida, to solve business problems through innovative software engineering practices. The ideal candidate has 3+ years of experience with data-intensive solutions, proficiency in programming languages like Python, and a strong understanding of SQL. You will contribute to an Agile team while promoting technical excellence and guiding the adoption of new technologies.

Qualifications

• 3+ years’ experience of implementing data-intensive solutions using agile methodologies.
• Proficient in Python, Java, or Scala.
• Strong proficiency in SQL for data querying, transformation, and manipulation.

Responsibilities

• Deliver sprint goals as a code-contributing member of an Agile team.
• Write clean, efficient, and maintainable code.
• Guide teams to evaluate new technologies for potential impact.

Skills

Data-intensive solutions

Python

SQL

Agile methodologies

Data Structures

Education

BA/BS degree or equivalent work experience

Tools

Hadoop

AWS Glue

Docker

Terraform

Job description

Overview

We are looking for a hands-on Data Engineer who is passionate about solving business problems through innovation and engineering practices.

As a 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 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

• 3+ 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.
• Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.)
• 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.

Preferred Qualifications

• Experience with Hadoop and S3 for data storage and Pyspark processing is valuable, as is exposure to modern data platforms such as AWS Glue, Terraform, spark on EKS
• Experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications
• Experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).
• Familiarity with open-source data engineering tools and frameworks (e.g. Spark , Kafka, Airflow, DBT) is a valuable asset
• Exposure to a range of table and file formats including Iceberg, Hive, Avro, Parquet and JSON
• 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

Education

• BA/BS degree or equivalent work experience.

Additional Information

Most Relevant Skills: Please see the requirements listed above.

Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date: Sep 10, 2025

Equal Opportunity: Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to 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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