Data Integration Engineer

Job Summary

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

Key responsibilities

• Build, maintain, and monitor data pipelines and ELT processes, participating in day-to-day integration tasks
• Develop and optimize SQL-based transformations within the Snowflake ecosystem, managing schemas, tables, and views
• Implement data integrations using Python and orchestration tools like Apache Airflow, ensuring data quality and reliability

Required qualifications

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