Senior Data Engineer

Job Summary

Leading the technical direction for data engineering, the part-time Senior Data Engineer will design and deliver core data infrastructure for eDiscovery AI products, focusing on scalable and reliable data pipelines while working remotely for 24 hours per week.

Key responsibilities

• Set the technical direction and manage the architecture for data engineering across eDiscovery AI products
• Lead the design and operation of data preprocessing and transformation pipelines for large-scale document corpora
• Define data engineering standards and best practices while mentoring and guiding team members

Required qualifications

• Degree in computer science or computer engineering with 8+ years of experience in data engineering
• Demonstrated technical leadership in designing large-scale data platforms
• Expertise in building data pipelines for unstructured document data and implementing big data workflows in cloud-native tech stacks
• Deep knowledge of data science and ML pipeline patterns, including operationalizing models in production
• Experience with vector databases and semantic search infrastructure for RAG pipeline support