Data Engineer (Databricks)
Tasks
- Apply data modeling and scalable architecture best practices
- Build and optimize data tables views jobs and pipelines
- Develop and operate data pipelines for audience segments
- Ensure data privacy and data governance compliance
- Implement real time processing with Spark Structured Streaming
- Implement testing CI CD and code quality standards
- Investigate emerging Databricks capabilities
- Monitor data quality and observability metrics
- Use declarative pipelines for operational workflows
Perks/Benefits
- 401k matching
- Career development opportunities
- Collaborative learning culture
- Educational events
- Fully remote work
- Health, dental, and vision insurance
- Occasional travel to New York City
- Pre tax savings plan
- Social events
- Team building events
- Transit and parking programs
- Volunteer initiatives
Skills/Tech-stack
AI Coding Assistants | AI coding | Apache Spark | CI/CD | Claude Code | Coding assistants | Data Governance | Data Modeling | Data Observability | Data Privacy | Data Quality | Data Warehousing | Databricks | Declarative Pipelines | Delta Lake | Distributed Computing | Git | GitHub Copilot | Jobs Workflows | Lakeflow Declarative Pipelines | Lakehouse | Metadata Management | Orchestration | Python | SQL | Spark Structured Streaming | Structured Streaming | Unity Catalog | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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