Data Engineer – Azure Databricks

High Bridge Consulting • New York City, NY

20h • Hybrid

About The Position

We are hiring a Data Engineer with strong Azure Databricks and Azure Data Engineering experience to build and scale enterprise data pipelines across corporate functions including Finance, Compliance, Facilities, RESO, and HCG. This role focuses on modern cloud data engineering, ETL/ELT pipelines, and enterprise system integration within a large-scale Azure data ecosystem. NYC area (Hybrid – 3 days onsite per week)

Requirements

• 5+ years in Data Engineering / Cloud Data Engineering
• Strong hands-on experience with Azure, Databricks, Spark
• Advanced SQL and large-scale data processing
• Experience with Azure Data Factory
• Strong programming in Python or Scala
• Experience with Azure SQL Database
• Familiarity with APIs, event-driven architecture, and system integration
• Experience with Azure Functions
• Working knowledge of C# and/or PowerShell
• Strong communication and stakeholder management skills

Nice To Haves

• Delta Lake / Lakehouse architecture
• Azure DevOps / CI-CD pipelines
• Data governance / catalog tools (e.g., Purview)
• Agile/Scrum environment experience
• Microsoft or Databricks certifications

Responsibilities

• Design, build, and maintain Azure Databricks + Azure Data Factory pipelines
• Develop ETL/ELT workflows for structured and unstructured data
• Build scalable data models and lakehouse architectures
• Integrate enterprise systems (ServiceNow, Workday, Dataverse, APIs)
• Optimize SQL queries, Spark jobs, and data processing performance
• Ensure data governance, security, and data quality standards
• Support monitoring, troubleshooting, and pipeline reliability
• Collaborate across business and technical teams

Benefits

• High-impact enterprise data platform work
• Exposure across multiple business domains
• Opportunity to shape modern Azure Databricks architecture
• Strong focus on scalability, engineering excellence, and innovation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 1-10 employees