Part-time Data Engineer

Job Summary

Designing and maintaining critical data infrastructure, the part-time Data Engineer will create scalable data pipelines and optimize data systems while collaborating with analysts and data scientists in a remote work environment.

Key responsibilities

• Design and develop scalable data pipelines for efficient data integration and storage
• Optimize data transformations for analytics, AI, and machine learning use cases
• Ensure data consistency and quality through validation and monitoring within pipelines

Required qualifications

• Bachelor's degree in computer science, data science, or related field (or equivalent experience)
• 3+ years of experience designing and maintaining data pipelines and platforms
• Strong proficiency in SQL, Python, or R for data transformation and analysis
• Experience with cloud-based data architectures and modern data warehouses like Snowflake or Databricks
• Familiarity with data quality and governance practices, including validation and access controls