As part of ongoing data transformation efforts, we’re seeking a Data Engineer to help build and optimize data pipelines for critical business applications for one of our leading clients. This role is hands-on, focusing on implementing modern data engineering solutions that streamline data flows, enhance internal operations, and improve customer-facing experiences. You'll work with tools like Snowflake, Databricks, dbt, and 5Tran to develop and maintain scalable data pipelines, collaborating closely with senior engineers and business stakeholders. Key Responsibilities: • Data Pipeline Development: Build and optimize end-to-end data pipelines using Snowflake, Databricks, dbt, and 5Tran, ensuring data is structured and ready for business applications. • Data Transformation & Modeling: Develop dbt models to transform raw data into structured datasets for analytics and operational use. • System Optimization: Support the design and implementation of efficient data structures that improve internal data flows and performance. • Collaboration & Communication: Work with cross-functional teams, including senior engineers, analysts, and business stakeholders, to ensure data solutions meet business needs. • Code Quality & Best Practices: Write clean, efficient SQL and Python code while following best practices for data engineering, testing, and performance optimization. • Agile Development: Participate in Scrum ceremonies, contributing to sprint planning, standups, and retrospectives. Skills & Experience: • Experience in data engineering, with hands-on experience in building data pipelines. • Strong knowledge of Snowflake and Databricks for data processing and warehousing. • Experience with dbt to create transformations and build reusable data models. • Familiarity with 5Tran for data integration and pipeline automation. • Proficiency in SQL and data modeling, with a focus on optimizing query performance. • Experience working with cloud platforms (AWS, GCP, or Azure) and ETL processes. • Ability to troubleshoot data pipeline issues and optimize performance. • Strong problem-solving skills and ability to work both independently and collaboratively in a team environment. • Experience with Agile/Scrum methodologies. Preferred: • Experience with Python for automation or additional data engineering tasks. • Knowledge of business-specific data concepts like unit costs, skews, and menu data is a plus. • Previous experience in foodservice or a similar industry is beneficial. • This is an exciting opportunity to grow your expertise in modern data engineering while working on impactful projects within a collaborative team environment!