Design scalable data pipelines and build systems that teams rely on, raising the bar on data quality and governance while partnering with IT, Security, and Finance to define what 'good' looks like.
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
- 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
- 401k Matching
- Retirement Plan
- Generous Paid Time Off
- Tuition Reimbursement
