Fabric data engineer
Base Compensation Range: USD $90,500 – $148, 600
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Required Skills & Qualifications Technical Skills
4-8 years of experience in Data Engineering and Analytics Engineering
Hands-on experience with Microsoft Fabric
Strong SQL development skills
Experience with PySpark or Spark SQL
Experience building ETL/ELT pipelines
Understanding of Lakehouse and Data Warehouse concepts
Familiarity with Power BI and semantic modeling
Experience with cloud platforms, preferably Microsoft Azure
Knowledge of Git/version control practices
Preferred Skills Experience with:
Medallion architecture (Bronze/Silver/Gold)
Dataflows Gen2
Fabric Pipelines
OneLake
Delta tables
Direct Lake
Exposure to:
Azure Data Factory
Databricks
ADLS Gen2
Event driven architectures
Understanding of monitoring and observability practices
Knowledge of data governance and security best practices
Apply To This Job
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Required Skills & Qualifications Technical Skills
4-8 years of experience in Data Engineering and Analytics Engineering
Hands-on experience with Microsoft Fabric
Strong SQL development skills
Experience with PySpark or Spark SQL
Experience building ETL/ELT pipelines
Understanding of Lakehouse and Data Warehouse concepts
Familiarity with Power BI and semantic modeling
Experience with cloud platforms, preferably Microsoft Azure
Knowledge of Git/version control practices
Preferred Skills Experience with:
Medallion architecture (Bronze/Silver/Gold)
Dataflows Gen2
Fabric Pipelines
OneLake
Delta tables
Direct Lake
Exposure to:
Azure Data Factory
Databricks
ADLS Gen2
Event driven architectures
Understanding of monitoring and observability practices
Knowledge of data governance and security best practices
Apply To This Job