Senior Databricks Data Engineer - 1628
$130,000–$140,000 year
HybridCalabasas, California, United States
Job Summary
Design and build scalable batch and real-time data pipelines using Databricks, Spark, and Python. Develop data ingestion, processing, and analytical workflows while ensuring data quality, reliability, and performance. Build data products and intelligent APIs, supporting cloud-based data architecture for BI and AI/ML use cases. Participate in code reviews and CI/CD practices to maintain robust Azure API development standards. Collaborate with cross-functional teams to translate business needs into data solutions. Requires 10+ years of experience in data engineering, Azure data services, and REST APIs. Fulltime onsite role in Las Vegas or Calabasas.
Required Qualifications
- Databricks
- AI
- Python
- Azure API development
- ETL pipelines
- DevOps and CI/CD
- Bachelor's degree in a related technical field
- 10+ years of data engineering experience
- Strong experience with Databricks, Spark, and cloud platforms
- Proficiency in Python and SQL
- Hands-on experience with Azure data services
- Experience with REST APIs and DevOps practices
- Agile development experience
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