As a Senior Data Engineer, help build a unified data foundation that powers asset visibility, cost optimization, and security insights across the company.
Requirements
- 9+ years of experience building and maintaining data pipelines and large-scale data platforms
- Strong experience with Databricks, Apache Spark, and SQL for distributed data processing and transformation
- Experience designing data models and architectures such as medallion architecture, data lakes, or lakehouse systems
- Proficiency in Python or similar programming languages for data engineering and ETL development
- Experience integrating data from multiple enterprise systems (e.g., SaaS tools, financial systems, identity systems)
- Strong understanding of data quality, data governance, and entity resolution techniques across heterogeneous datasets
- Excellent collaboration and communication skills, with experience working cross-functionally with technical and non-technical stakeholders
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Four Day Work Week
