As a Senior Data Engineer, you will guide organizations through their data modernization journeys by leveraging Databricks and cloud-based data solutions. You will design, develop, and optimize data pipelines, architectures, and analytical workflows that enable actionable insights for fast-paced, innovative companies.
Requirements
- 5+ years of experience in data engineering roles
- 2+ years of hands-on experience with Databricks; Databricks Data Engineer certification is preferred
- Strong expertise with Python, PySpark, Spark SQL, and Databricks Delta Lake technology
- Experience with Spark Structured Streaming, Delta Live Tables (DLT), and cloud data stacks
- Advanced SQL skills and familiarity with relational and modern databases
- Ability to work collaboratively in remote teams, provide technical leadership, and act as a trusted advisor
Benefits
- Competitive compensation and performance-based incentives
- Fully remote work with flexibility in schedule and location
- Opportunities to work on cutting-edge data projects and cloud technologies
- Professional growth through exposure to diverse clients and data challenges
- Collaborative, inclusive, and supportive company culture
- Access to learning and development resources to advance technical skills