AI Data Engineer

StoneX is seeking a highly skilled and experienced Data Engineer to join our team on a long-term contract basis. This pivotal role involves leveraging your expertise in Snowflake, dbt, and SQL to design, develop, and maintain robust data solutions for our client. If you are passionate about building scalable data pipelines and transforming complex data into actionable insights, we encourage you to apply for this exciting opportunity to work as a Data Engineer.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines and data transformation workflows to ensure efficient data processing.
• Implement and manage dbt models, including comprehensive testing, incremental loads, snapshots, and detailed documentation.
• Optimize and manage data warehousing solutions within Snowflake, focusing on performance, scalability, and data integrity.
• Utilize Python for scripting, automation, and advanced data manipulation tasks within the data engineering ecosystem.
• Manage source code versioning and collaborative development using Git for all data-related projects.
• Collaborate effectively with cross-functional teams in an Agile environment to understand data requirements and deliver high-quality solutions.
• Ensure the accuracy, consistency, and reliability of data through the implementation of strong data quality concepts.
• Work with various cloud platforms such as AWS, Azure, or GCP for data storage, processing, and analytics initiatives.

Requirements

• Strong hands-on experience as a Data Engineer, with specific expertise in Snowflake, dbt, and SQL.
• Proven experience with dbt models, including testing, incremental loads, snapshots, and meticulous documentation practices.
• Good knowledge and practical experience with Python for data engineering tasks.
• Familiarity with Git for version control and collaborative development workflows.
• Experience in developing and maintaining robust ETL/ELT data pipelines and transformation workflows.
• Understanding of data warehousing principles, dimensional modeling, and data quality concepts.
• Experience with at least one major cloud platform (AWS, Azure, or GCP).
• Strong problem-solving abilities, excellent communication skills, and experience working in Agile methodologies.

What We Offer

• A challenging and rewarding long-term contract opportunity to work with cutting-edge data technologies.
• The flexibility of a hybrid work arrangement, combining remote work with occasional presence in NYC, NY.
• Opportunity to contribute to critical data initiatives for a prominent client like StoneX.
• A dynamic and collaborative work environment where your contributions are valued.
• Exposure to a diverse technology stack and complex data engineering challenges, fostering continuous learning and professional growth.