Team/Role Overview 

As a Snowflake Data Engineer at Citi, you will build and maintain the data pipelines that power critical decisions across one of the world's leading financial institutions. You will use Snowflake, SQL, and Python to turn raw, large-scale data into reliable, analysis-ready assets that teams across the business depend on. This role puts you at the center of Citi's data infrastructure, working hands-on with modern cloud data tools every day.

What you’ll do

• Design and build scalable data pipelines in Snowflake to support reliable, high-performance data delivery across the organization.
• Write and optimize complex SQL queries and stored procedures to transform and prepare large datasets for business use.
• Develop and schedule Snowflake tasks and streams to automate data processing workflows and keep information continuously up to date.
• Configure Snowflake data sharing to enable secure, efficient data exchange between internal teams and external partners.
• Use Snowpark and Python to build advanced data transformations and support scalable analytics solutions.
• Analyze large and complex datasets to identify patterns, resolve data quality issues, and support informed decision-making.
• Manage source code and collaborate with team members using GitHub to maintain version control and code quality.
• Apply DevOps practices across the development lifecycle to streamline deployment and improve the reliability of data solutions.

What we’ll need from you 

• Hands-on experience writing and optimizing SQL queries and stored procedures in Snowflake.
• Experience building and managing Snowflake tasks and streams to automate data workflows.
• Practical knowledge of Snowflake data sharing for secure data distribution across teams and partners.
• Experience using Snowpark and Python for data transformation and pipeline development.
• Proven ability to analyze and work with large, complex datasets.
• Experience using GitHub for version control and collaborative development.
• Familiarity with DevOps practices and the software development lifecycle.

What We Offer

Work with modern cloud data technologies as part of a collaborative, global data engineering team, with real opportunities to grow your technical expertise.

• Work in a hybrid model with three days in the office and two days working remotely each week.
• Build deep technical expertise in Snowflake, Python, and modern data engineering tools through hands-on project work.
• Collaborate with data and technology teams across Citi's global network.
• Access ongoing learning and development programs to support your long-term career growth.
• Benefit from resources that support your financial wellbeing and work-life balance.
•