Senior Data Engineer

Must Have Technical/Functional Skills

• ETL/ELT concepts (pipelines, incremental loads, validation)
• Advanced SQL (CTEs, joins, performance tuning)
• Python (modular code, testing, CI/CD)
• PySpark (distributed processing, optimization)
• Azure Data Factory (pipelines, triggers, monitoring)
• Databricks (Delta Lake, workflows, clusters)
• Azure (ADLS Gen2, Azure SQL, Resource Groups, Portal)
• Pulumi (Infrastructure as Code)
• Azure API Services
• Azure Function Apps

• Design and build end-to-end data pipelines
• Develop and optimize SQL and PySpark transformations
• Build production‑grade Python components
• Create and maintain ADF pipelines
• Work within Azure environments
• Provision Azure resources using Pulumi
• Participate in code reviews, documentation, and operational support

Salary Range: $100,000 - $120,000 a year

• Discretionary Annual Incentive
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support:
  Maternal & Parental Leaves
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

BACHELOR OF COMPUTER SCIENCE