Data Engineer - SQL/ETL Architect for Fabric Migration

Talentify; Newark (NJ); On-site; USD 100,000 - 150,000; Full time

Job summary

Talentify in Newark, NJ is seeking a Data Engineer to enhance ETL pipelines, build SQL-based transformations, and lead migration to Microsoft Fabric for trusted analytics-ready data.

You will partner with the Data Management team to enforce data quality, develop scalable data models, and support governance and reporting through Power BI while delivering robust data solutions in a hybrid environment.

Qualifications

• Bachelor's degree required.
• 3+ years in a data engineering or analytics role.
• Strong SQL with complex transformations, tuning, and modeling.
• Experience with ETL pipelines in on-prem or hybrid environments; PostgreSQL preferred.
• Experience migrating data platforms to Azure and/or Microsoft Fabric.
• Understanding of data lake/warehouse architectures.
• Knowledge of SQL, Python, Spark or similar tech.
• Experience with relational DBs: PostgreSQL, SQL Server, MySQL.

Responsibilities

• Maintain and enhance ETL pipelines for on-prem data lake (PostgreSQL).
• Refactor and migrate ingestion and orchestration to Microsoft Fabric.
• Design and maintain SQL-based transformations, views, and datasets.
• Build data models to support analytics and Power BI reporting.
• Apply data quality rules and automated checks in pipelines.
• Collaborate with analytics and reporting teams for consumption needs.
• Document pipelines, logic, and architectural decisions.

Skills

SQL

Python

Spark

Data modeling

ETL pipelines

Agile collaboration

Communication

Education

Bachelor's degree

Tools

PostgreSQL

SQL Server

MySQL

Azure

Microsoft Fabric

Power BI

Job description

Talentify in Newark, NJ is seeking a Data Engineer to enhance ETL pipelines, build SQL-based transformations, and lead migration to Microsoft Fabric for trusted analytics-ready data.

You will partner with the Data Management team to enforce data quality, develop scalable data models, and support governance and reporting through Power BI while delivering robust data solutions in a hybrid environment.