*Digital S/W Eng Lead Analyst - VP

Reposted 2 Months Ago
Be an Early Applicant
Tampa, FL, USA
In-Office
126K-188K Annually
Senior level
Fintech • Financial Services
The Role
Hands-on data engineer who writes production-quality code, architects scalable data systems, mentors teams, and implements data pipelines using modern data platforms, cloud-native tools, and open-source frameworks to meet sprint commitments and business needs.
Summary Generated by Built In

Job Title: Data Engineer – C13/VP

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

  • 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

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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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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Jul 04, 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.

 

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.

Skills Required

  • 5+ years experience implementing data-intensive solutions using agile methodologies
  • Proficient in one or more programming languages such as Python, Java, or Scala
  • Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review)
  • Multiple years of experience with Hadoop for data storage and processing
  • Exposure to modern data platforms such as Snowflake and Databricks
  • Multiple years of experience with cloud-native development and container orchestration (Serverless, Docker, Kubernetes, OpenShift)
  • Multiple years of experience with open-source data engineering tools and frameworks (Spark, Kafka, Beam, Flink, Trino, Airflow, DBT)
  • Exposure to table and file formats including Iceberg, Hive, Avro, Parquet and JSON
  • Multiple years of experience architecting and building horizontally scalable, highly available, resilient, low-latency applications
  • Strong proficiency with relational databases and using SQL for querying, transformation, and manipulation
  • Clear understanding of Data Structures and Object Oriented Principles
  • Experience modeling data for analytical consumers
  • Ability to automate and streamline build, test, and deployment of data pipelines
  • Proven experience providing technical vision and guidance to a data team
  • BA/BS degree or equivalent work experience

Citi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.

  • Healthcare Strength — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
  • Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
  • Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.

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The Company
HQ: Kwun Tong, Kowloon
223,850 Employees

What We Do

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.

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