Job Title: Azure Snowflake Data Engineer Location: Boston, MA – HYBDID (4x per week Onsite) Duration: 6-12+ Months Contract – W2/C2C Job Summary: We are looking for a highly skilled Azure Snowflake Data Engineer to join our data engineering team on a contract basis. This role will focus on building robust, scalable data solutions using Snowflake and Azure, enabling real-time and batch data processing pipelines. The ideal candidate will be well-versed in modern data engineering practices and Snowflake-specific capabilities such as Time Travel, Zero Copy Cloning, and Snowpipe. Key Responsibilities • Design and implement end-to-end data pipelines using Azure Data Services and Snowflake. • Develop scalable ELT/ETL frameworks and manage large datasets efficiently. • Implement Snowpipe for continuous data ingestion and streaming. • Leverage Time Travel and Zero Copy Cloning features for data versioning, recovery, and testing. • Optimize query performance and storage usage within Snowflake. • Collaborate with data analysts, engineers, and business stakeholders to understand data requirements. • Ensure data reliability, governance, and security across platforms. • Monitor, troubleshoot, and maintain existing data workflows and infrastructure. Required Skills • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. • Must have 8+ Years of in data engineering or analytics roles. • 4-6+ years of hands-on experience with Snowflake and Azure data platforms. • Snowflake: Advanced expertise including Time Travel, Zero Copy Cloning, and Snowpipe. • Azure Data Services: Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Blob Storage. • Strong proficiency in SQL for data manipulation and optimization. • Experience with Python for scripting and automation. • Solid understanding of data warehousing, data lakes, and distributed systems. Nice To Have • Experience with dbt, Apache Airflow, or similar orchestration tools. • Familiarity with CI/CD in data engineering workflows. • Knowledge of Delta Lake or Databricks is a plus.