Lakehouse Data Platform Engineer (Hybrid NYC)

DBI STaffing; New York (NY); Hybrid; USD 180,000 - 220,000; Full time

Job summary

DBI STaffing in New York, NY is seeking a Data Engineer to design, build, and maintain Microsoft Fabric Lakehouse solutions, data pipelines, and enterprise data platforms delivering analytics, reporting, and AI initiatives.

This hybrid role requires 5-7 years of experience with Azure Data Factory, Databricks, and SQL; onsite 4 days per week at Midtown Manhattan, offering a compensation range of $180,000-$220,000 annually.

Qualifications

• 5–7 years of enterprise data engineering experience.
• Strong SQL/T-SQL, data modeling, transformation, and performance tuning.
• Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, and Databricks.

Responsibilities

• Design, build, and maintain Microsoft Fabric Lakehouse solutions, data pipelines, and enterprise data platforms.
• Develop scalable data ingestion, transformation, and orchestration processes for analytics and AI initiatives.
• Implement and support Medallion Architecture and Delta Lake standards to deliver quality data products.
• Collaborate with business, analytics, and data teams to meet organizational needs.
• Ensure compliance with data governance, security, and quality standards.

Skills

SQL/T-SQL

Python

REST APIs

CI/CD

DevOps

Education

Bachelor's degree in Computer Science/Information Systems/Engineering

Tools

Azure Data Factory

Azure Synapse Analytics

Databricks

OneLake

Delta Lake

Power Automate

Logic Apps

Job description

DBI STaffing in New York, NY is seeking a Data Engineer to design, build, and maintain Microsoft Fabric Lakehouse solutions, data pipelines, and enterprise data platforms delivering analytics, reporting, and AI initiatives.

This hybrid role requires 5-7 years of experience with Azure Data Factory, Databricks, and SQL; onsite 4 days per week at Midtown Manhattan, offering a compensation range of $180,000-$220,000 annually.