AI Data Engineer

StoneX is seeking a highly skilled and experienced Data Engineer with a strong focus on Snowflake technology to join our dynamic team. This is a long-term contract opportunity for an expert in building and optimizing data infrastructure. As a Data Engineer, you will play a crucial role in developing, constructing, testing, and maintaining highly scalable data architectures, ensuring seamless data flow and reliable data solutions for our complex business needs. This position offers the flexibility of a remote work arrangement or the option to work from our NYC, NY office, collaborating with a talented group of professionals.

We are looking for a dedicated Data Engineer who can leverage their expertise in Snowflake and associated data tools to deliver robust and efficient data processing solutions. Your work will directly impact our ability to analyze data effectively, drive informed decisions, and support critical business operations. If you are passionate about data, possess excellent problem-solving abilities, and thrive in an agile environment, we encourage you to apply and contribute to our innovative projects.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines and data transformation workflows using modern data engineering practices.
• Implement and manage dbt models, including testing, incremental loads, snapshots, and comprehensive documentation to ensure data integrity and usability.
• Collaborate with cross-functional teams to understand data requirements and translate them into robust, efficient, and well-documented data solutions.
• Ensure the highest standards of data quality, consistency, and reliability across all data platforms.
• Optimize data warehousing solutions and dimensional modeling techniques within the Snowflake environment.
• Actively participate in an Agile development environment, contributing to sprint planning, stand-ups, and retrospectives.

Requirements

• Proven strong hands-on experience as a Data Engineer, with specific expertise in Snowflake, DBT, and SQL.
• Demonstrable experience with dbt models, including their implementation for tests, incremental loads, snapshots, and documentation.
• Solid understanding of Python for scripting and automation of data processes.
• Proficiency with Git for version control and collaborative development.
• Good knowledge of major cloud platforms such as AWS, Azure, or GCP.
• Strong grasp of data warehousing concepts, dimensional modeling, and data quality principles.
• Excellent problem-solving, communication, and collaboration skills, with a track record of success in Agile team environments.
• Eligibility to work in the US without sponsorship (OPT / H1B / TN / H4 EAD / GC / USC work authorizations preferred).

What We Offer

• A long-term contract opportunity to work with a leading client, StoneX, in a critical data engineering role.
• The flexibility of working remotely or from a vibrant office in NYC, NY.
• Opportunity to work on challenging and impactful projects, utilizing cutting-edge data technologies.
• A collaborative and agile work environment that fosters professional growth and learning.
• Exposure to a diverse set of data challenges and the chance to make a significant contribution to data strategy.