Data Engineer – C11 Tampa

Job Title: Data Engineer – C11

The Role
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 :
•    0-2+ 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.
•    BA/BS degree or equivalent work experience.

Preferred Qualifications:
•    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 architecting and building horizontally scalable, highly available, highly resilient, and low latency applications 
•    Multiple years of 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, Beam, Flink, Trino, 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.

Applicants must be authorized to work in the U.S.  Citi will not sponsor applicants for U.S. work authorization for this position.

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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:

$76,560.00 - $106,840.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and