Senior Data Engineer – Databricks

Tasks

• Design and maintain scalable data pipelines
• Develop and optimize large-scale data processing workflows
• Integrate data from multiple sources
• Implement data quality, monitoring, and governance practices
• Collaborate with cross-functional teams to deliver reliable data solutions

Requirements

• 10+ years
• Strong hands-on experience with Databricks and Delta Lake
• Expertise in Python, PySpark, and SQL
• Experience building scalable ETL/ELT data pipelines
• Knowledge of Lakehouse architecture and distributed data processing
• Experience with AWS, Azure, or Google Cloud Platform (GCP)
• Strong understanding of data warehousing, data modeling, and performance optimization
• Familiarity with CI/CD, Git, data governance, and data security

Schedule

• Hybrid
• C2C

Pay

• $65/hr on C2C

How to apply

• Share your updated resume by email
• Mention your total experience, Databricks experience, current location, work authorization, and C2C availability when applying

Location

• Houston, TX or Berkeley Heights, NJ