- Location
- Pune, Maharashtra
- Workplace
- Hybrid
- Department
- R&D
- Source
- Lever
Description
About Onit
We're redefining the future of legal operations through the power of AI. Our cutting-edge platform streamlines enterprise legal management, matter management, spend management and contract lifecycle processes, transforming manual workflows into intelligent, automated solutions.
We’re a team of innovators using AI at the core to help legal departments become faster, smarter, and more strategic. As we continue to grow and expand the capabilities of our new AI-centric platform, we’re looking for bold thinkers and builders who are excited to shape the next chapter of legal tech.
If you're energized by meaningful work, love solving complex problems, and want to help modernize how legal teams operate, we’d love to meet you.
Position Summary
The Data Engineer builds and operates the Databricks-based data pipelines that power a new customer-facing benchmarking capability in Onit's AI-driven legal operations platform. Integrating data from multiple source systems across enterprise legal management, matter management, and spend management, this role turns inconsistent, duplicated, and incomplete source data into a clean, reconciled, and trustworthy foundation for analytics. Working closely with the Data Architect, Data Scientist, and Product, the Data Engineer delivers reliable ingestion, entity resolution, and data quality measurement at scale, with multi-tenant data isolation and privacy built in.
Skills
PythonAWSCI/CDSQLSparkDatabricksData EngineeringGitGitHub