Data Integration Engineer

Job Summary

To support the development and maintenance of scalable data integrations, the remote Data Integration Engineer will build, monitor, and optimize data pipelines using Python and Snowflake while collaborating with senior engineers in a contract role.

Key responsibilities

• Build, maintain, and monitor data pipelines and ELT processes using established patterns and best practices
• Develop and optimize SQL-based transformations within the Snowflake ecosystem, including managing schemas and supporting data loading patterns
• Implement data integrations into Snowflake using Python, SQL, and orchestration tools like Apache Airflow

Required qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience)
• 1-3 years of experience in data engineering, analytics engineering, or a related technical role
• Proficiency in Python and SQL, with experience in the Snowflake data platform
• Hands-on exposure to Apache Airflow or other workflow orchestration tools and cloud platforms such as AWS or Azure
• Familiarity with data modeling, ELT concepts, and Git/CI/CD fundamentals