Overview
On Site
USD 125,600.00 - 188,400.00 per year
Full Time
Skills
Team Leadership
Sprint
Software Development
Collaboration
Systems Architecture
Leadership
Continuous Improvement
Emerging Technologies
Innovation
Agile
Programming Languages
Python
Java
Scala
Unit Testing
Design Patterns
Apache Hadoop
Data Storage
As-is Process
Snow Flake Schema
Databricks
Orchestration
Docker
Kubernetes
Open Source
Data Engineering
Apache Spark
Apache Kafka
Apache Flink
File Formats
Apache Hive
Apache Avro
Apache Parquet
JSON
Relational Databases
SQL
Data Structure
Object-Oriented Programming
Modeling
Analytical Skill
Management
Business Analysis
Business Analytics
Ab Initio
GDE
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Terraform
Software Engineering
Insurance
Law
Accessibility
Job Details
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
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.
Multiple years of 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.
BA/BS degree or equivalent work experience.
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
Job Family Group:
Technology
Job Family:
Digital Software Engineering
Time Type:
Full time
Primary Location:
Tampa Florida United States
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.
Anticipated Posting Close Date:
May 07, 2025
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.
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
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.
Multiple years of 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.
BA/BS degree or equivalent work experience.
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
Job Family Group:
Technology
Job Family:
Digital Software Engineering
Time Type:
Full time
Primary Location:
Tampa Florida United States
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.
Anticipated Posting Close Date:
May 07, 2025
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.