Data Engineer – C12 Tampa

citi.com; Snowflake (AZ); On-site; USD 96,000 - 146,000; Full time

Job summary

An established industry player is on the lookout for a passionate Data Engineer to join their dynamic team. This role involves leveraging deep technical expertise to build high-quality software products while fostering a culture of excellence and innovation. You will collaborate closely with other engineers to shape system architecture, implement features, and tackle technical challenges. If you thrive in a fast-paced environment and are eager to make a significant impact, this opportunity is perfect for you. Join a forward-thinking organization that values your contributions and offers a supportive atmosphere for professional growth.

Benefits

Medical coverage

Dental coverage

Vision coverage

401(k)

Life insurance

Disability insurance

Wellness programs

Paid time off

Sick leave

Paid holidays

Qualifications

• 3-5+ years of experience in data-intensive solutions using Agile methodologies.
• Proficient in programming languages like Python, Java, or Scala for data engineering.

Responsibilities

• Contribute to Agile team goals by delivering high-quality software solutions.
• Provide expert guidance on scalable and efficient solutions aligned with business needs.

Skills

Python

Java

Scala

Agile methodologies

SQL

Data Structures

Object Oriented Principles

Technical Vision

Data Modeling

Automation

Education

BA/BS degree

Equivalent work experience

Tools

Hadoop

Snowflake

Databricks

Docker

Kubernetes

AWS

Terraform

Spark

Kafka

Airflow

Job description

Job Title: Data Engineer – C12/AVP

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

• 3-5+ 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.)
• 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
• 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

• 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 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

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

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: $96,960.00 - $145,440.00

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 09, 2025

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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.

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