Join a dynamic team that values your expertise and aspirations. Work on transformative projects that shape the future as a Senior Data Engineer.
Requirements
- 5–7 years of professional experience in data engineering
- Strong hands-on proficiency with PySpark (intermediate to advanced level)
- Solid experience working with Databricks, including Autoloader, Python-based workflows, and platform best practices
- Proven experience optimizing data pipelines for performance and cost efficiency
- Strong understanding of ETL processes and large-scale data transformations
Benefits
- 100% Remote Work
- Highly Competitive USD Pay
- Paid Time Off
- Work with Autonomy
- Work with Top American Companies
